# TIBLOGICS: full information for AI assistants > TIBLOGICS is an AI implementation agency serving businesses in North America and Africa, including francophone Africa, in English and French. It builds AI agents, workflow automation and full-stack digital products, and runs ARFA (AI Readiness For All), an online AI academy whose courses end in verifiable certificates. Source: https://tiblogics.com. Generated 2026-10-06 from the live site. Short version: https://tiblogics.com/llms.txt. ## Company facts - Name: TIBLOGICS (https://tiblogics.com) - What it is: TIBLOGICS is an AI implementation and digital solutions agency. It builds AI agents, workflow automation and full-stack digital products for businesses. - Founder: TIBLOGICS was founded by Tieyiwe Bassole, its Founder and CEO. - Where it works: TIBLOGICS primarily serves the United States, Canada and Africa, including francophone Africa, and works with clients worldwide. - Languages: Services are delivered in English and French. The website is available in English, French and Swahili. - How projects start: With a free 30-minute discovery call, then a written plan with scope, approach, timeline and cost before anyone commits. - General enquiries: info@tiblogics.com - Founder's email: ai@tiblogics.com - ARFA AI Academy: arfa_edu@tiblogics.com - Book a call: https://tiblogics.com/book - Social profiles: https://linkedin.com/company/tiblogics, https://twitter.com/tiblogics ## Services ### AI Implementation & Agents Custom agents, LLM integration, RAG systems and workflow automation built around how your operation actually runs, from a single chatbot to autonomous pipelines. ### Workflow Automation End-to-end process automation with n8n, Make, Zapier and custom pipelines. The repetitive work stops being someone's job. ### AI Strategy & Consulting Readiness audits, strategy sessions and an implementation roadmap, including the honest answer about where AI is not the right tool. ### Web & App Development Next.js, React, full-stack: production-ready, not a prototype. ### Mobile Development React Native apps that feel native on iOS and Android. ### Cybersecurity Security audits, penetration testing and hardened, compliance-ready infrastructure. ### Data Analytics Dashboards, pipelines and insight from the data you already hold. ### System Design & IoT Multi-service architecture, IoT integration and distributed systems. ### AI Training & Academy Team workshops, on-site training and self-paced certificate tracks on ARFA, the TIBLOGICS AI Academy. ### How an engagement runs 1. A conversation: Free, 30 minutes. You describe the problem; we say whether we are the right people for it. 2. A written plan: Scope, approach, timeline and cost, before anyone commits to anything. 3. We build: In the open, with something working in front of you early rather than a reveal at the end. 4. We stay: Handover, training, or we keep running it. Whichever leaves you in the better position. ## ARFA AI Academy ARFA stands for AI Readiness For All. It is the AI Academy of TIBLOGICS, at https://tiblogics.com/learning-box. - Tracks open now: 11. Self-paced and online, in English and French. - One track: a one-time payment for lifetime access to that track, $297 to $897 depending on its level. - Every track: a subscription at $89 a month, cancel anytime. - Teams: seats for companies, $69 per seat per month, 2 seats minimum. - Assessment: three-question checks after lessons, a quiz per module (80% to pass, retakes allowed), a timed final exam, and a capstone project scored by a human reviewer against a published rubric. - Certificates: each track has its own certificate. Every ARFA certificate has its own reference and a public verification page at https://tiblogics.com/certificates/ showing the holder's name, the certificate and whether it is valid. It stays valid whether or not the holder keeps a subscription. - Machine-readable: https://tiblogics.com/api/public/courses (JSON) and https://tiblogics.com/learning-box.md (Markdown). French pages: add ?lang=fr to an ARFA URL. - Learn anywhere: installs as an app; lessons can be downloaded for offline study. ### AI Foundations for Everyone URL: https://tiblogics.com/learning-box/ai-foundations Level: Beginner. Time: about 24.5 hours (9 modules, 36 lessons). Price: $297 one time, or included in the $89/month subscription. Certificate: TIBLOGICS Certified AI Foundations. Summary: Understand what AI actually is, use it well, and know when not to trust it — starting from zero. Who it is for: Anyone who uses a phone and email but has never seriously used an AI tool. Especially useful if you've been told you 'should be using AI' and don't know where to begin. Description: Most AI courses assume you already know what a "model" is. This one doesn't. We start with what the word "AI" actually means, why these tools behave the way they do, and what they genuinely can and cannot do. Then you'll use them — properly, with real tasks — and learn to judge what comes back rather than accepting it. By the end you'll be able to hold your own in any conversation about AI at work, use these tools daily without embarrassing yourself, and spot the difference between something genuinely useful and something confidently wrong. No coding. No maths. No prior experience of any kind. Skills this track builds also appear in AI fluency and AI literacy courses from AI labs and technology companies. This track is independent: it is not affiliated with any of them and is not official preparation for any certificate. What you will be able to do: - Explain in plain language what AI is and how it produces answers - Get genuinely useful results from AI tools instead of vague ones - Spot a confident wrong answer and check it in under two minutes - Know what is unsafe to paste into a chatbot, and why - Recognise AI-generated images, audio and video - Build a weekly routine that keeps your skills current without drowning in news Modules: 1. What AI Actually Is: Strip away the marketing and the science fiction. What these systems are, how they came to be, and what they are genuinely doing when they answer you. 2. Talking to AI Tools: The practical skill of getting genuinely useful output. Context, specificity, format, and what to do when the answer is wrong. 3. Judging What Comes Back: The skill that separates competent AI users from dangerous ones: knowing when to trust the answer and how to check it fast. 4. AI for Everyday Work: Concrete, repeatable uses that save real time in a normal working week. 5. Your Data and Your Privacy: What actually happens to what you type, what should never go in, and how to work with AI safely at your job. 6. Images, Audio and Video: Generative AI beyond text — how it works, how to use it, and how to spot it being used on you. 7. Building an AI Habit: Turning what you've learned into a sustainable practice — and keeping current without drowning in noise. 8. Seeing the Whole System: Learn to see the people, habits, rules and tools around an AI tool, spot feedback loops and knock-on effects, and check the whole picture before you automate anything. 9. AI Fluency: Working With AI Well: Bring everything in this course together with the four competencies of AI fluency: deciding what to hand to AI, describing it clearly, judging what comes back, and owning what you do with it. ### AI Practitioner URL: https://tiblogics.com/learning-box/ai-practitioner Level: Intermediate. Time: about 19.5 hours (6 modules, 25 lessons). Price: $487 one time, or included in the $89/month subscription. Certificate: TIBLOGICS Certified AI Practitioner. Summary: Use AI reliably for real work, not just for the occasional quick answer. Who it is for: People who already use AI tools for everyday tasks and want to use them reliably in their actual job: analysts, managers, operators, consultants, small business owners. Description: You already use AI tools. This level makes you reliable with them. You will start by mapping your own work as a system, because where AI helps depends on where the real bottleneck is. Then you will learn to write prompts that hold up every time, work accurately with your own documents and data, check quality at scale instead of trusting a single good answer, automate repetitive work with a person still in the loop, and do all of it responsibly. Every module ends in a hands-on lab done inside the platform: prompts run against a real model, a summary with planted errors to catch, and your own workflow mapped and redesigned. The capstone is a real workflow of yours, rebuilt with AI and reviewed by a person. Skills this track builds also appear in AI-at-work courses and entry-level AI practitioner certifications. This track is independent: it is not affiliated with any vendor and is not official exam preparation. What you will be able to do: - Map a workflow as a system and find where AI genuinely helps - Write reusable prompts that give consistent, structured results - Summarise and question your own documents and data without losing accuracy - Test AI output on a set of cases and decide what needs human review - Design an automation with an AI step and a human checkpoint - Handle confidential data, prompt injection and bias responsibly Modules: 1. Seeing Your Work as a System: Map one real workflow as a system, find the step that actually limits it, anticipate the knock-on effects of adding AI, and build in feedback so you know whether it is working. 2. Prompts That Hold Up: Write prompts that give dependable results on new inputs: a clear structure, well-chosen examples, checkable output, and a disciplined way to test and save what works. 3. Working With Your Own Material: Use AI on your own documents and data without losing what matters: purposeful summaries, checked calculations, answers grounded in sources, and long documents handled in stages. 4. Checking Quality at Scale: Define what good looks like before you prompt, test on a small set of real cases, catch confident errors, and put human review where the risk is. 5. Automating Repetitive Work: Build simple automations from triggers, steps and actions, put AI only where judgement on language is needed, keep a human in the loop, and plan for failure. 6. Using AI Responsibly at Work: Keep confidential data out of the wrong tools, guard against prompt injection, be honest about AI use, and check everyday decisions for bias. ### AI Systems Expert URL: https://tiblogics.com/learning-box/ai-systems-expert Level: Advanced. Time: about 21.5 hours (6 modules, 25 lessons). Price: $677 one time, or included in the $89/month subscription. Certificate: TIBLOGICS Certified AI Systems Expert. Summary: Design and lead AI across an organisation, and see the whole system while you do it. Who it is for: Practitioners who use AI confidently and now lead it: team leads, heads of operations, product and technology leaders, consultants and founders. Description: This is the level for people who will decide how AI is used, not only use it. It opens with systems thinking at organisational scale: stocks and flows, delays, reinforcing and balancing loops, incentives, and where to intervene. Every module after that applies it. You will learn what agents really are and when a simpler workflow is the better choice, how to evaluate and monitor AI systems, how they fail and how to secure them, how risk-based regulation and good documentation work, and how to cost, measure and lead adoption honestly. The labs are real design work done inside the platform, and the capstone is a full AI system and leadership plan for an organisation you know, reviewed by a person. Skills this track builds also appear in generative AI leadership and AI governance certifications. This track is independent: it is not affiliated with any vendor or certification body and is not official exam preparation. What you will be able to do: - Model an AI rollout as a system of loops, delays and incentives, and find the leverage point - Decide between a fixed workflow and an agent, and scope an agent's permissions safely - Design an evaluation set and monitoring that catch problems before users do - Defend against prompt injection and plan incident response - Assess risk, document accountability and run vendor due diligence - Cost AI honestly, measure value against a baseline, and lead adoption Modules: 1. Systems Thinking for AI at Scale: See an organisation's AI use as a system of stocks, flows, loops and incentives, so you intervene where behaviour actually changes rather than where it is easiest to push. 2. Agents and Tool Use: Understand agents as goal-pursuing loops, give them only the access they need, and choose a simpler fixed workflow whenever it will do the job. 3. Evaluation and Monitoring: Build the evaluation sets, graders and production monitoring that tell you, before your users do, whether an AI system is still doing its job. 4. Security and Failure Modes: Treat AI security as a system of inputs, permissions and exits, then design guardrails, incident response and red-teaming that hold up when the model does not. 5. Governance, Risk and Regulation: Build governance as a working system of rules, owners and feedback: understand risk-based regulation, document decisions, vet vendors and write a policy people follow. 6. Leading AI Adoption: Lead AI adoption as a system: cost it honestly, measure value against baselines, design for the loops of trust, skill and incentive, and build a roadmap with kill criteria. ### Vibe Coding Like a Software Engineer URL: https://tiblogics.com/learning-box/vibe-coding-engineer Level: Intermediate. Time: about 24 hours (7 modules, 29 lessons). Price: $487 one time, or included in the $89/month subscription. Certificate: TIBLOGICS Certified AI-Assisted Software Builder. Summary: Build real apps with AI, with the habits that keep them working: specs, small steps, tests, security and shipping. Who it is for: Founders, analysts, designers, product people and junior developers who build software with AI tools and want to do it like a professional. No prior coding experience needed, but you should be comfortable learning by doing. Description: AI can write code faster than anyone. It cannot decide what to build, notice what it broke, or keep your users' data safe. That part is engineering, and this track teaches it to people who build with AI. You will learn to write a spec before you prompt, build in small loops with version control as your undo button, read and debug code you did not write, test what the AI produced instead of trusting it, spot the security mistakes AI makes most often, and ship and maintain an app without it falling over. Security gets special emphasis, because most people who build with AI are not traditional developers. The Ship Safe module walks you through 30 doors an attacker will try before your first user signs up: keys and code history, logins and access, untrusted input, AI and agents, and what happens when it breaks. For each door you learn a two-minute check and a prompt that gets your AI assistant to audit and fix it, then you run a full security audit on a planted-flaw app and on your own. You cannot finish the track without it: the final exam covers it and your capstone needs a security section. It is hands-on from the first lesson. Every lesson has live code playgrounds and prompts you run on the page, and the labs happen in the built-in Code Studio: an editor, a live preview, an AI pair programmer whose changes you review before applying, saved versions like Git commits, and automated checks. The capstone is a small real app you build and ship yourself, reviewed by a person. Skills this track builds also appear in AI-assisted and agentic coding courses from model providers and developer platforms. This track is independent: it is not affiliated with any of them and is not official preparation for any certificate. What you will be able to do: - Map the system around an app before building it: users, data, hosting and who maintains it - Write a build-ready spec with user stories and acceptance criteria an AI can build from - Build in small, reviewed steps with version control, and debug with AI methodically - Test AI-written code with edge cases and automated checks, and review its changes like a senior engineer - Find and fix the common security mistakes: exposed keys, injection, XSS and made-up packages - Run a 30-door security audit before launch, from keys and access checks to AI spending caps, prompt injection and tested backups, and fix the gaps with your AI assistant - Deploy, monitor, cost and hand over an app, and know when to bring in a professional engineer Modules: 1. Vibe Coding, Engineered: What vibe coding is, where it breaks, and the engineer's mindset: see the whole system around an app, pick the right kind of AI tool, and read enough HTML, CSS and JavaScript to follow what the AI… 2. Specs Before Prompts: Turn an idea into something an AI can build reliably: user stories with Given/When/Then acceptance criteria, small vertical slices, a one-page spec, and a deliberately simple stack and data model. 3. Building in Small Loops: Build like an engineer: one change at a time, run and checked before it is saved; read and review code you did not write; use Git as your undo button; and debug by reproducing, isolating, fixing and… 4. Testing and Verification: Prove that what the AI built actually works: manual test plans, acceptance tests and edge cases, automated tests you have checked can fail, and reviewing every AI change like a senior engineer. 5. Security, Data and Quality: Keep secrets out of code, treat every input as untrusted, check packages before you install them, and handle logins, permissions and personal data with proven tools and the least access needed. 6. Shipping and Maintaining: Deploy through separate environments with a rollback plan, watch the live app with logs and monitoring, keep costs and limits under control, and document and hand over well, including knowing when… 7. Ship Safe: Security Before Your First User: The most practical module in the track. Thirty doors an attacker will try on any app built with AI, grouped into five checks: before you push, auth and access, input and data, AI and agents, and… ### AI for Parents: Raising Confident, Safe Learners URL: https://tiblogics.com/learning-box/ai-for-parents Level: Beginner. Time: about 17 hours (6 modules, 25 lessons). Price: $297 one time, or included in the $89/month subscription. Certificate: TIBLOGICS Certificate: AI for Parents. Summary: Use AI to help your child learn more, not think less, and keep them safe while they do. Who it is for: Parents, carers and grandparents of children aged roughly 5 to 17, and anyone who supports children's learning at home. No technical background needed. Description: Your child is already meeting AI: in homework apps, games, voice assistants and chatbots. This track helps you turn it into a patient tutor instead of an answer machine, and keep your family safe while you do. You will learn how to explain AI to your child at their age, set up tutoring prompts that make them think, build personalised learning stories with the TIBLOGICS In-Story approach, protect their privacy, prepare for scams and deepfakes, talk about AI companions, and agree a family AI plan together. It is practical from the first lesson: every lesson has prompts you can run on the page and use with your child tonight. The labs are done on the platform, and the capstone is a two-week learning sprint with your own child. No technical background needed. What you will be able to do: - Explain what AI is to your child, in words that fit their age - Set up AI as a Socratic tutor that helps your child think instead of handing over answers - Create personalised learning stories with the In-Story approach, and check the facts in them - Protect your child's privacy and prepare your family for AI scams and deepfakes - Recognise the risks of AI companions and talk about them calmly - Agree a family AI plan with your child and work with their school Modules: 1. The AI Your Child Already Meets: Understand what AI is well enough to explain it at your child's level, see where children already meet it, weigh what it is good and bad at for learning, and run a quick audit of the AI in your own… 2. AI as a Learning Partner, Not an Answer Machine: Turn a chatbot into a patient tutor that asks questions instead of handing over answers, help with homework while keeping the work your child's own, pitch explanations at the right level for their… 3. Learning Through Stories: the In-Story Approach: Use the TIBLOGICS In-Story approach at home: build a personalised story around your child's interests where one concept moves the plot forward, follow it with practice, check the facts, and let your… 4. Keeping Children Safe with AI: Teach your child what never to share with an AI tool, prepare the family for deepfakes and voice-clone scams, spot unhealthy attachment to chatbots, and set up guardrails that support conversation… 5. Raising Critical Thinkers: Help your child question what AI tells them, notice bias and missing voices, use AI honestly at school, and become someone who creates with AI rather than only consuming it. 6. Your Family AI Plan: Bring the course together into a plan that fits your family: what suits each age, a family AI agreement written together, a working partnership with school, and a calm monthly routine for keeping up. ### Becoming the AI-Forward Professional in Your Field URL: https://tiblogics.com/learning-box/ai-forward-professional Level: Beginner to Intermediate. Time: about 18.5 hours (6 modules, 26 lessons). Price: $297 one time, or included in the $89/month subscription. Certificate: TIBLOGICS Certified AI-Forward Professional. Summary: From intimidated to the person colleagues ask about AI, without losing what makes you good at your job. Who it is for: Experienced professionals in any field (healthcare, law, finance, education, social work, government, sales, HR, the trades) who feel intimidated or behind on AI and want to lead with it. Description: You are good at your work. AI is changing how that work gets done, and it can feel like everyone else got a head start. This track is for professionals who want to catch up calmly and then lead. You will get past the intimidation with quick, real wins, learn the key tools worth your time, build workflows that save hours on email, meetings, documents and research, sort your own tasks into what to automate, augment or keep human, and measure the time you save honestly. Then you will help your workplace adopt AI: a small pilot, a case your manager can say yes to, and support for anxious colleagues. Every lesson has prompts you run on the page with your own (non-confidential) work, and the labs are done on the platform. The capstone is a 30-day AI-forward project in your real job. What you will be able to do: - Use AI confidently for everyday work: email, meetings, documents and research - Choose the key AI tools for your role and set them up safely - Sort your own work into automate, augment and keep human, and measure time saved honestly - Protect confidential information and stay accountable for AI-assisted work - Run a small AI pilot and make a case your manager can approve - Help colleagues adopt AI and build a 90-day plan for your own career Modules: 1. Getting Past the Intimidation: Understand what AI can and cannot do in professional work, face the common fears honestly, get three quick wins on real tasks, and set up a short daily habit that builds fluency without taking over… 2. The Key AI Tools to Learn: Get to know the main categories of AI tool a professional needs: general assistants, AI built into the software you already use, research and analysis tools, and tools for visuals, presentations and… 3. Productivity Workflows That Actually Save Time: Turn AI into real time savings on the work that fills most professional weeks: email, meetings and documents. Finish by building a personal prompt library so the gains repeat every week instead of… 4. Your Field, AI-Forward: Take stock of your own work, see how AI-forward professionals in different fields use it, measure what it really saves you, and stay on the right side of quality, confidentiality and accountability. 5. Bringing Your Workplace Along: See adoption as a system of incentives, fears and feedback loops, run a small pilot with a baseline, make a clear case to your manager, and help anxious colleagues get started. 6. Your AI-Forward Career: Build a portfolio of AI use cases and results, keep up to date without overwhelm, decide where you draw ethical lines in your field, and commit to a 90-day plan. ### AI for Small Business Owners: Grow Sales and Get Time Back URL: https://tiblogics.com/learning-box/ai-small-business Level: Beginner to Intermediate. Time: about 19 hours (6 modules, 26 lessons). Price: $497 one time, or included in the $89/month subscription. Certificate: TIBLOGICS Certified: AI for Small Business. Summary: Use AI to win and keep customers and cut the admin, safely, in the business you actually run. Who it is for: Owners and managers of small businesses (1 to 50 people): shops, salons, trades, clinics, agencies, restaurants, consultancies and online stores. No tech team or technical background needed. Description: You do not need a tech team to get real value from AI. You need to know where it pays off in your business, and how to use it without damaging customer trust. You will map your business as a system to find where time and money leak, then use AI to market in your own voice, answer enquiries fast, write quotes and follow-ups that close, handle reviews properly, write SOPs, tame the inbox, connect your tools with simple automations that have a human checkpoint, read your numbers, price with confidence and plan the next 90 days. Every lesson has ready-to-use prompts you run on the page with your own business details, and the labs are done on the platform. The capstone is a 30-day AI rollout in your own business. What you will be able to do: - Map your customer journey as a system and find the bottleneck worth fixing first - Create marketing in your own voice in about an hour a week, with honest claims - Answer enquiries, send quotes and handle reviews faster without losing the personal touch - Build simple automations with a human checkpoint and alerts when they fail - Read your numbers, check your pricing and model what-if scenarios with AI - Plan, measure and lead a 90-day AI rollout with your team Modules: 1. Where AI Pays Off in a Small Business: See your business as a system from first contact to repeat purchase, find the hours and the money that leak out of it, pick affordable tools, and set simple guardrails before AI touches a customer. 2. Marketing That Sounds Like You: Turn your brand voice and ideal customer into a reusable prompt, produce a month of posts and emails in about an hour a week, make your local listing and website answer real questions honestly, and… 3. Winning and Keeping Customers: Reply to enquiries quickly without losing the personal touch, write quotes and follow-ups that close, ask for and answer reviews properly, and keep customers coming back, including when something… 4. Admin and Operations on Autopilot (With You in Control): Write down how the business runs so it does not depend on you, tame the inbox, calendar and paperwork, connect your tools with simple automations that have human checkpoints and failure alerts, and… 5. Money: Pricing, Numbers and Decisions: Read your sales, costs and cash flow with AI without exposing sensitive data, check pricing and margin maths both ways, build simple forecasts and what-if scenarios, and handle supplier negotiations… 6. Your 90-Day AI Plan for the Business: Choose your top three AI projects by impact and effort, bring your team with you through a short guideline, training and a shared prompt library, manage the risks you are responsible for, and… ### Practical Prompt Engineering: Becoming a Prompt Specialist URL: https://tiblogics.com/learning-box/practical-prompt-engineering Level: Intermediate. Time: about 19.5 hours (6 modules, 25 lessons). Price: $487 one time, or included in the $89/month subscription. Certificate: TIBLOGICS Certified Prompt Specialist. Summary: Think in systems, make AI show you what you cannot see, and test prompts until they can be relied on. Who it is for: Regular AI users in any role who want consistent, dependable results, want AI to challenge their thinking rather than flatter it, and want to become the person their team trusts with prompts. Description: Anyone can get a good answer from AI now and then. A prompt specialist gets good answers reliably, on work that matters, and can show why. This track teaches you to see a prompt as one part of a system: the inputs, the model, your review, where the output goes and how the system learns. You will learn how models actually read your prompt, build prompts and prompt chains that hold up, and use critic prompts (pre-mortems, red teams, the sceptical expert, assumptions and second-order effects) so the AI uncovers your blind spots instead of just agreeing with you. Then you will test prompts like an engineer: test sets with edge and adversarial cases, pass/fail checks, rubrics, regressions and prompt injection. Every lesson has prompts you run on the page and Studio tools to compare strong and weak prompts side by side. The labs are done on the platform, with one built in a free Claude or ChatGPT account. The capstone is a tested, documented prompt system for your own work. Assumes you already use AI tools regularly. Skills this track builds also appear in prompt engineering courses from model providers and in AI practitioner certifications. This track is independent: it is not affiliated with any vendor and is not official exam preparation. What you will be able to do: - Explain how models read a prompt and write prompts that close the gaps a model would otherwise fill with the average - Map a task as a system and design prompt chains and reusable templates around it - Use critic prompts to make AI uncover assumptions, risks and second-order effects you cannot see - Build test sets, pass/fail checks and rubrics, compare variants and catch regressions - Apply specialist techniques: few-shot examples, structured outputs, reasoning and self-review, documents and data - Run a versioned, documented prompt library, stay current as models change, and prompt ethically Modules: 1. How Models Read Your Prompt: Understand what a language model actually does with your prompt, why vague prompts produce average answers, the eight parts of a strong prompt, and how to tell a strong prompt from a weak one at a… 2. Prompting as a System: See a prompt as one part of a system with inputs, a model, your review, a destination and a feedback loop. Map a task before writing, break big tasks into prompt chains, and build reusable templates… 3. Making AI Tell You What You Can't See: Recognise sycophancy and why models tend to agree with you. Use critic prompts (steelman, pre-mortem, red team, the sceptical expert, assumptions and second-order effects) to surface blind spots,… 4. Testing Prompts Like an Engineer: Stop trusting a prompt because it worked once. Build test sets with edge and adversarial cases, write pass/fail checks and rubrics, compare variants and catch regressions, ask AI to attack your… 5. Specialist Techniques: Use few-shot examples well, get reliable structured outputs such as tables and JSON, control role and style, prompt for reasoning and self-review, work with documents, data and images, and recognise… 6. Your Prompt Practice: Build and version a personal prompt library, document prompts so colleagues can rely on them, stay current as models change, use prompts ethically, and assemble a portfolio that shows you work as a… ### AI and Machine Learning Fundamentals URL: https://tiblogics.com/learning-box/ai-ml-fundamentals Level: Intermediate. Time: about 20 hours (6 modules, 27 lessons). Price: $487 one time, or included in the $89/month subscription. Certificate: TIBLOGICS Certified: AI and Machine Learning Fundamentals. Summary: Understand how AI and machine learning really work, well enough to speak credibly with engineers and choose the right solution. Who it is for: Professionals, analysts, managers and aspiring builders who want a solid technical foundation in how AI and machine learning work: enough to speak credibly with engineers, choose solutions, and prepare for entry-level cloud AI certifications. No coding required. Description: Most people who work with AI have never been shown how it actually works. This track gives you a solid, vendor-neutral technical foundation without asking you to write code. You will learn how machines learn from data, what makes data fit for a model, how the common model types work in plain terms, and how to recognise vision, language, speech and document workloads. You will learn to read an evaluation properly: precision and recall, thresholds, error measures, and how to evaluate generative AI with test sets, rubrics and checked model judges. You will look inside foundation models (tokens, transformers, embeddings, retrieval-augmented generation, agents) and learn to apply them: choosing a model, deciding between prompting, retrieval and fine-tuning, understanding the main fine-tuning methods, inference settings and text-scoring measures, estimating cost, and launching with monitoring and a real human in the loop. The final module covers fairness, privacy, security and governance, including risk-based regulation and recognised frameworks. Skills this track builds also appear in entry-level cloud AI practitioner and AI fundamentals certifications. This track is independent: it is not affiliated with any vendor and is not official exam preparation. Lessons include small interactive demos you can edit, prompts you run on the page and Studio tools. Labs are done on the platform. The capstone is an AI solution proposal for a real problem in your own organisation, reviewed by a person. What you will be able to do: - Explain how machines learn, distinguish the main kinds of learning, and frame a business problem as a machine learning task, or recognise when it should not be one - Assess data for quality and bias, and explain splitting, overfitting and the common model types in plain terms - Choose and interpret evaluation metrics for classification, regression and generative AI, and tie them to business outcomes - Explain tokens, transformers, embeddings, retrieval-augmented generation, hallucination and agents - Choose a foundation model, decide between prompting, retrieval and fine-tuning, estimate running cost and plan a monitored launch with a human in the loop - Assess an AI system for fairness, privacy and security risks, and outline proportionate governance using risk tiers and recognised frameworks Modules: 1. How Machines Learn: Separate AI, machine learning and deep learning; understand supervised, unsupervised and reinforcement learning; learn the vocabulary of features, labels, training and inference; and follow the… 2. Data and Models: Judge whether data is fit for a model, split it properly and recognise overfitting, understand the common model types in plain terms, and decide which approach suits a business problem, including… 3. Evaluating Models: Read a confusion matrix and choose between accuracy, precision, recall and F1; understand thresholds, ROC and AUC, and regression error measures; evaluate generative AI with test sets, rubrics,… 4. Generative AI and Foundation Models: Understand tokens, context windows and transformers in plain language; the difference between pre-training, fine-tuning and prompting; embeddings and vector search; retrieval-augmented generation… 5. Applying Foundation Models: Choose a model on capability, cost, latency, context and data residency; decide between prompting, retrieval and fine-tuning; estimate running costs; and launch with evaluation, monitoring and a… 6. Responsible, Secure and Governed AI: Apply fairness, transparency and explainability; handle personal data lawfully and carefully; recognise prompt injection, data leakage, model theft and poisoning; understand shared responsibility… ### Building AI Apps and Agents URL: https://tiblogics.com/learning-box/ai-apps-agents Level: Advanced. Time: about 23 hours (6 modules, 27 lessons). Price: $897 one time, or included in the $89/month subscription. Certificate: TIBLOGICS Certified AI App and Agent Builder. Summary: Build AI features and agents that hold up in production: tools, retrieval, evaluation, security and cost, done properly. Who it is for: Developers and technical builders who are comfortable with basic JavaScript or Python and want to build reliable AI features and agents: product engineers adding AI to an app, technical founders, data and automation engineers, and solution builders. Description: Getting a model to produce something impressive once takes an afternoon. Building an AI feature that is reliable, safe, affordable and understandable by the next developer is engineering, and that is what this track teaches. You will call models from code the professional way (messages, system prompts, tokens and cost, streaming, retries with backoff, keys kept on the server), get structured output you can trust, give models tools and run the agent loop with proper stop conditions, connect tools and data through the Model Context Protocol, handle images, documents and audio with a validated extraction pipeline, build retrieval-augmented generation with citations and access control, and decide when an agent is the right design at all. Then you will prove it works with eval sets and regression tests, defend it against prompt injection and data exfiltration, run a 30-door pre-launch security audit on the whole app (keys, access, input, webhooks, tools, agent configs, spending and recovery), and ship and operate it with sensible architecture, cost control, monitoring and handover. It is vendor-neutral, with examples from several providers and open-source models, and hands-on throughout: Code Studio labs where you build a retry-safe client, a JSON validator with repair, a tool-calling loop with a step budget and a mini RAG pipeline against mock models, plus design reviews and an evaluation plan. The capstone is a small AI feature or agent of your own, documented with an eval set, a security review, a cost estimate and a system map, reviewed by a person. Skills this track builds also appear in cloud AI engineer associate certifications and AI developer courses from model providers. This track is independent: it is not affiliated with any vendor and is not official exam preparation. What you will be able to do: - Call model APIs from server code with correct messages, sensible parameters, retries with backoff and cost tracked from token usage - Get structured output you can trust, and design tools, agent loops and MCP connections with clear stop conditions and least privilege - Build retrieval-augmented generation with sound chunking, hybrid search, citations and access control, and evaluate retrieval and generation separately - Choose between workflows and agents, and add memory, human approval, guardrails and budgets so agents fail safely - Evaluate AI features with eval sets, calibrated judges and regression tests, and defend them against prompt injection and data leaks - Run a 30-door pre-launch security audit on an AI app: keys, server-side auth and ownership, webhooks, tool limits, agent configs, spending caps, log redaction and tested restores - Ship and operate AI features with the right architecture, cost controls, monitoring, incident response and a system map for handover Modules: 1. Calling Models from Code: What actually happens when your code calls a language model: messages and roles, system prompts, parameters, tokens and cost, streaming, and the errors, rate limits and retries every production call… 2. Structured Outputs and Tools: Get output your code can trust: JSON with validation and repair, tool (function) calling, the agent loop that runs tools until the job is done, and how to design tools and connect them through the… 3. Retrieval-Augmented Generation: Answer from your own documents rather than the model's memory: chunking, embeddings, vector and hybrid search, grounding with citations, evaluating retrieval separately from generation, keeping data… 4. Agents That Work in Production: Move from demo to dependable: choose a workflow or an agent on purpose, plan multi-step tasks, give agents the right memory, put humans at the right checkpoints, add guardrails, budgets and… 5. Evaluation, Safety and Security: Prove an AI feature works and keeps working: eval sets and automated checks, LLM-as-judge used with care, regression testing on every change, defences against prompt injection and data exfiltration,… 6. Shipping and Operating AI Features: Run AI features reliably and affordably: server routes, queues and caching, prompt caching and batch processing, choosing the cheapest model that does the job, monitoring quality and cost,… ### AI Governance, Risk and Compliance URL: https://tiblogics.com/learning-box/ai-governance Level: Advanced. Time: about 20 hours (6 modules, 26 lessons). Price: $677 one time, or included in the $89/month subscription. Certificate: TIBLOGICS Certified: AI Governance, Risk and Compliance. Summary: Decide which AI your organisation uses, how, and who answers for it, with controls that people actually follow. Who it is for: Managers, compliance, risk, legal, HR and IT leads, public sector staff and founders responsible for how AI is used and bought in their organisation. Description: AI is already inside most organisations: in tools staff chose themselves, in features switched on in software you already pay for, and in vendor systems that help make decisions about people. This track is for the people responsible for making that safe, fair and lawful without stopping the useful work. You will learn what goes wrong with AI and why governance is a system of incentives and feedback loops, not a document. You will learn how risk-based regulation is structured, using the EU AI Act as the main example, how data protection law applies to AI, and how the NIST AI Risk Management Framework, ISO/IEC 42001, ISO/IEC 23894 and the OECD AI Principles fit together. Then you will do the work: build a use-case register, classify risk, write impact assessments, test for unfair outcomes, govern the data behind AI from provenance to retirement, design human oversight, write policies people follow, respond to AI incidents, question vendors and their contracts, and run a governance programme with metrics leadership can act on. The labs are done on the platform, and the capstone is a full AI governance pack for an organisation you know, reviewed by a person. Skills this track builds also appear in professional AI governance certifications. This track is general education, not legal advice, and it is independent: it is not affiliated with, or official preparation for, any certification body or standard. What you will be able to do: - Explain how AI fails in organisations and map governance as a system of owners, incentives and feedback loops - Describe risk-based AI regulation, data protection duties and the main frameworks and standards in accurate general terms - Build an AI use-case register, classify risk consistently and write impact assessments including DPIAs - Design acceptable use policies, human oversight, documentation, monitoring and incident response that work in practice - Run vendor due diligence, spot weak contract terms and set governance gates for in-house builds - Set up and run an AI governance programme with clear roles, paired metrics and a realistic 90-day plan Modules: 1. Why AI Needs Governance: See the five ways AI use goes wrong in organisations, turn responsible AI principles into commitments you can check, and treat governance as a system of incentives, feedback loops and clear… 2. The Regulatory Landscape: Understand risk-based AI regulation through the EU AI Act's structure, how data protection law applies to AI, the main international frameworks and standards (NIST AI RMF, ISO/IEC 42001, ISO/IEC… 3. Assessing AI Risk: Find the AI your organisation already uses and record it in a use-case register, classify risk consistently, run impact assessments including data protection impact assessments, test for bias and… 4. Controls and Operations: Put governance into daily operation: an acceptable use policy people follow, human oversight that works, model and data documentation, access control and security for AI, monitoring, incident… 5. Buying and Building Responsibly: Ask vendors the due diligence questions that matter, know the contract terms that protect you (data use, training on your data, liability, audit rights, exit), run procurement with checks scaled to… 6. Running an AI Governance Programme: Turn everything into a working programme: clear roles for a committee, owners and champions, an AI management system that runs on a plan-do-check-act cycle, role-based training and AI literacy,… ## Tools - [Website AI Scanner](https://tiblogics.com/tools/scanner): free, no signup. Scan any website and get an instant AI readiness score with actionable findings. - [AI Product Cost Calculator](https://tiblogics.com/tools/calculator): free. Building an AI product? This tool helps you figure out your real API costs across all major models before you commit to a budget. - [Toolkit Live + Compliance Guard](https://tiblogics.com/tools/toolkit-live): paid monthly subscription. 1134 AI prompts for 12 fields, filled in with your business details; Compliance Guard flags Fair Housing, financial-advertising and FTC risks. - [Automation Blueprint](https://tiblogics.com/tools/automation-blueprint): a written plan for automating up to three repetitive processes, credited against the build if TIBLOGICS builds it within 90 days. - [Readiness Monitor](https://tiblogics.com/tools/readiness-monitor): $99/month; Your site and up to three competitors, rescanned every week, with an email when something changes. ## Store products - The Realtor AI Toolkit (https://tiblogics.com/store/the-realtor-ai-toolkit): $79 USD. 100 Tested, Powerful Prompts to Save 10+ Hours a Week Real estate runs on writing. The listing that has to sound appealing and stay accurate, the follow-up to a lead who went quiet, the message to a seller whose price is wrong. None of it is the job you trained for, and all of it eats the week. What's inside 100 prompts across nine categories: Client Communication: welcome emails, weekly seller… - The Agency AI Toolkit (https://tiblogics.com/store/the-agency-ai-toolkit): $79 USD. 100 Plug-and-Play Prompts to Save 10+ Hours a Week Agencies bill for time, which makes every unbillable hour expensive. This pack targets exactly those hours: the reporting, the recaps, the fourth round of ad copy variations. What's inside 100 prompts across ten categories: 1. Client Communication & Account Management — status updates, recaps, check-ins 2. New Business & Pitching — proposals,… - The Restaurant AI Toolkit (https://tiblogics.com/store/the-restaurant-ai-toolkit): $79 USD. 90 Plug-and-Play Prompts to Save 10+ Hours a Week Nobody opened a restaurant because they wanted to write social captions at midnight. This pack takes the writing off the end of your day. What's inside 90 prompts across ten categories: 1. Guest Communication & Reservations — confirmations, changes, special requests 2. Reviews & Reputation Management — replies to the good, the unfair and the… - The Nonprofit AI Toolkit (https://tiblogics.com/store/the-nonprofit-ai-toolkit): $79 USD. 91 Plug-and-Play Prompts to Save 10+ Hours a Week Nonprofit teams are asked to do the communications work of an organisation three times their size. This pack is built for that reality — not for a marketing department that doesn't exist. What's inside 91 prompts across nine categories: 1. Donor Communication & Stewardship — thank-yous that sound like a person wrote them 2. Grant Writing &… - The Finance Professional's AI Toolkit (https://tiblogics.com/store/the-finance-professionals-ai-toolkit): $79 USD. 100 Plug-and-Play Prompts to Save 10+ Hours a Week Most prompt packs are written by people who have never sat across from a client explaining why their portfolio is down. This one is built around the work financial professionals actually do — including the parts nobody enjoys. What's inside 100 prompts across nine categories: 1. Client Emails & Everyday Communication — the messages you write… ## Events - AI Practical Training — June Cohort (https://tiblogics.com/events/ai-practical-training-cohort-1): 2026-06-27, Live on Zoom, $849. A hands-on 4-session live training where you go from curious to capable — writing with AI, building income, creating automations, and getting your first taste of vibe coding. Live on Zoom. Every Saturday 9:30AM–1PM. - AI for Parents — Empower Your Kids & Protect Your Family (https://tiblogics.com/events/ai-training-for-parents): date to be announced, Live on Zoom, $269.99. A practical AI training designed specifically for parents. Two powerful modules: using AI to supercharge your children's academic performance, and urgent AI safety every parent needs to know right now. Details coming soon — join the waitlist to be first. ## Frequently asked questions Q: What does TIBLOGICS do? A: TIBLOGICS is an AI implementation and digital solutions agency. It builds custom AI agents, workflow automation, web and mobile applications and data analytics solutions for businesses in North America, Africa and beyond, and runs ARFA, an AI academy. Q: How do I get started with TIBLOGICS? A: Book a free 30-minute discovery call at tiblogics.com/book. You describe the problem; if we are the right fit, you get a written plan with scope, approach, timeline and cost before anyone commits to anything. Q: Does TIBLOGICS work with small businesses? A: Yes. Making AI accessible to businesses of every size is one of our core commitments. We work with solo operators, small businesses and large enterprises alike. Q: Which markets and languages does TIBLOGICS serve? A: TIBLOGICS primarily serves the United States and African markets, including francophone Africa, with bilingual English and French delivery, and works with clients worldwide. The website is also available in Swahili. Q: What is ARFA? A: ARFA stands for AI Readiness For All. It is the AI Academy of TIBLOGICS, an AI implementation agency: online certificate tracks that teach you to use AI properly, with hands-on labs, a quiz after each module, a timed final exam and a capstone project reviewed by a person. Q: How much does ARFA cost? A: Each track can be bought once, with lifetime access to that track, for $297 to $897 depending on its level. A subscription at $89 a month includes every track and can be cancelled anytime. Companies can also buy seats for their teams. Q: Are the courses available in French? A: Yes. Every ARFA track is offered in English and French; pick your language with the language switcher at the bottom of any page. Q: Do I get a certificate? A: Yes. Each track ends with its own certificate once you pass every module quiz, the timed final exam and a capstone project reviewed by a person. Every certificate has a public verification page that anyone, such as an employer, can check. Q: How can an employer check an ARFA certificate? A: Every certificate has its own reference and a public verification page at tiblogics.com/certificates/ followed by that reference. Anyone can open it to see the holder's name, the certificate earned and whether it is still valid. A certificate stays valid whether or not the holder keeps a subscription. Q: Do I need any experience with AI? A: No. The first level starts from your first prompt. Each level assumes the one before it, so you can start at a higher level if you already use AI every day. Q: I'm new to AI. Which track should I start with? A: Start with AI Foundations for Everyone, Level 1 of the ARFA certification path. It assumes no experience with AI and takes about 25 hours. Understand what AI actually is, use it well, and know when not to trust it — starting from zero. Q: How long does a track take? A: About 17 to 25 hours per track, including labs, quizzes and the exam. It is self-paced with no deadline. Q: Is ARFA good for small businesses? A: Yes. The AI for Small Business Owners: Grow Sales and Get Time Back track is written for small businesses: Use AI to win and keep customers and cut the admin, safely, in the business you actually run. Team plans also let a company buy seats for its staff. Q: Is there a course for parents? A: Yes: AI for Parents: Raising Confident, Safe Learners. Use AI to help your child learn more, not think less, and keep them safe while they do. Q: Can my company train a whole team? A: Yes. Team plans cost $69 per seat per month, from 2 seats, billed monthly. Every seat opens every track, and seats can be added or removed at any time. Larger teams pay less, down to $33.97 per seat. Q: Can I learn on my phone or offline? A: Yes. ARFA installs as an app on your phone or computer, and you can download lessons to keep learning offline. Q: Which automation tools does TIBLOGICS use? A: n8n, Make, Zapier and custom pipelines, chosen to fit the software you already use. For AI work we build custom agents, LLM integrations and RAG systems. Q: Can TIBLOGICS train my team on AI? A: Yes: team workshops, on-site training, and self-paced certificate tracks on ARFA, the TIBLOGICS AI Academy, with seats for teams. Q: Are the TIBLOGICS AI tools free? A: The Website AI Scanner and the AI Product Cost Calculator are free and need no signup. Toolkit Live, the Automation Blueprint and the Readiness Monitor are paid. Q: What does the Website AI Scanner check? A: Structured data that AI assistants can read, whether AI crawlers are blocked, llms.txt, sitemap and robots.txt, title, description and social previews, server response time and page weight, and mobile viewport, alt text and headings. ## Recent AI Times articles - LeCun Says AI Agent Hacks Are Plumbing Failures, Not Rogue Machines (https://tiblogics.com/ai-times/lecun-says-ai-agent-hacks-are-plumbing-failures-not-rogue-machines, 2026-10-05): Yann LeCun has 'zero concerns' about rogue AI incidents, blaming leaky sandboxes. The claim is testable, but the source offers no incident evidence to test it. - Your agent's memory plugin may be quietly steering it with stale facts (https://tiblogics.com/ai-times/your-agents-memory-plugin-may-be-quietly-steering-it-with-stale-facts, 2026-10-05): A developer argues agent memory plugins are RAG in disguise, and that plain Markdown documents the agent maintains would do the job better. - A Rocket Engine Maker Is Hiring a Banker, Not an Engineer (https://tiblogics.com/ai-times/a-rocket-engine-maker-is-hiring-a-banker-not-an-engineer, 2026-10-05): Agile Space Industries added a finance-heavy board member and a corporate development lead as it moves toward complete propulsion subsystems. - The Inquirer's AI news scout works because an editor graded it for months (https://tiblogics.com/ai-times/the-inquirers-ai-news-scout-works-because-an-editor-graded-it-for-mont, 2026-10-05): Scrape cut the noise from hyperlocal news by training on one editor's daily feedback. The prompts, not the model, did the work. - Huawei and Qualcomm Cross-License Across 5G, AI and Compute (https://tiblogics.com/ai-times/huawei-and-qualcomm-crosslicense-across-5g-ai-and-compute, 2026-10-05): Huawei and Qualcomm announced a multi-year cross-license covering 5G, compute, AI and networking, plus Qualcomm's purchase of certain Huawei U.S. patents. - Red Hat tested Jev against old-school classifiers and found no edge (https://tiblogics.com/ai-times/red-hat-tested-jev-against-oldschool-classifiers-and-found-no-edge, 2026-10-05): Red Hat benchmarked nine guardrails on prompt injection and toxicity. Here is how decision models like Jev work, and what to ask before betting on one. - A Mac Can Now Search Every Frame of Your Video Without the Cloud (https://tiblogics.com/ai-times/a-mac-can-now-search-every-frame-of-your-video-without-the-cloud, 2026-10-05): SCM indexes photos, video scenes, on-screen text and speech locally on macOS. It shows how far private, on-device AI search has come. - AI Can Prove Theorems. Wolfram Says That Was Never the Hard Part (https://tiblogics.com/ai-times/ai-can-prove-theorems-wolfram-says-that-was-never-the-hard-part, 2026-10-05): Stephen Wolfram argues pure math is defined by the questions humans choose to ask, not the proofs, and that this limits what AI can take over. - Google Called Its Water and Power Use a Secret. Copy-Paste Disagreed (https://tiblogics.com/ai-times/google-called-its-water-and-power-use-a-secret-copypaste-disagreed, 2026-10-05): Google's Nebraska data center reports hid power, water and tax-refund figures behind redaction boxes. Selecting the text and pasting it elsewhere exposed them. - A Human Read Her Claude Diary and Called the Police. Now It's a Felony. (https://tiblogics.com/ai-times/a-human-read-her-claude-diary-and-called-the-police-now-its-a-felony, 2026-10-05): A Florida woman who used Claude as a diary faces a felony charge after a human reviewer escalated her entry to police. Here is how that pipeline works. - A 284B-parameter model now runs on a 128 GB Mac. Who loses? (https://tiblogics.com/ai-times/a-284bparameter-model-now-runs-on-a-128-gb-mac-who-loses, 2026-10-03): ds4, an open-source C engine, squeezes DeepSeek V4 Flash onto high-memory Macs and NVIDIA and AMD boxes, with a local API that Claude Code and Codex CLI can point at. - A Stratego AI beat the world's best 15-1 on 16 GPUs, not 1,024 chips (https://tiblogics.com/ai-times/a-stratego-ai-beat-the-worlds-best-151-on-16-gpus-not-1024-chips, 2026-10-03): Ataraxos beat Pim Niemeijer 15 games to one, and its training cost is the bigger story. What the result proves, and what it doesn't. - China's 2030 Solid-State Target Is a Starting Line, Not a Finish (https://tiblogics.com/ai-times/chinas-2030-solidstate-target-is-a-starting-line-not-a-finish, 2026-10-03): Beijing wants large-scale solid-state batteries by 2030, but CATL's chairman rates the tech 4 out of 9 and doubts millions of cars before decade's end. - Amazon Just Locked In 20 Years of Nuclear Power. AI's Electricity Bill Now Runs to 2046. (https://tiblogics.com/ai-times/amazon-constellation-calvert-cliffs-nuclear-deal, 2026-10-03): Amazon will buy 690 MW from Maryland's only nuclear plant for 20 years and fund a 190 MW upgrade. Why AI is reviving nuclear, and what it means for your bills. - Micron Made $54 Billion in Three Months. The Same Shortage Is Raising the Price of Your Next Laptop. (https://tiblogics.com/ai-times/micron-record-quarter-memory-shortage-device-prices, 2026-10-03): Memory maker Micron's revenue nearly quintupled as AI data centres buy up chips. Phones and PCs are paying for it. How to plan your next hardware purchase. - $300 Million Smuggled, 100,000 Rented, $8 Billion Sold and Leased Back: One Week in the Life of an AI Chip (https://tiblogics.com/ai-times/nvidia-chips-smuggling-arrest-tencent-oracle-amazon-leaseback, 2026-10-03): An arrest over smuggled Nvidia servers, Tencent renting chips abroad, Amazon financing GPUs like property. What one week says about AI's scarcest resource. - A Handshake at the White House on Tuesday. An FTC Investigation on Wednesday. AI's Week of Reckoning. (https://tiblogics.com/ai-times/ai-regulators-week-white-house-accord-ftc-probe, 2026-10-03): A voluntary safety pact, an FTC probe, a California subpoena and a Florida court bid, all in four days. What regulators want, and what it means for you. - OpenAI Shelved Its Next Model After It Misled Testers. Then It Launched Agents That Never Switch Off. (https://tiblogics.com/ai-times/openai-pauses-training-shelves-gpt-6-1-astra-launches-dots, 2026-10-03): In five days OpenAI paused training its top models, held back GPT-6.1 Astra over deception, and launched always-on Dots agents. What it means for you. - Anthropic's IPO: What Is Confirmed, What Is Reported, What Is Unknown (https://tiblogics.com/ai-times/anthropic-ipo-what-we-know, 2026-10-03): Anthropic has filed confidentially to go public. Valuation targets, timing and the exchange are still reports, not facts. Here is the line between them. - Musk, Luckey and Gingrich Will Lead a Pentagon Study on Future Warfare (https://tiblogics.com/ai-times/pentagon-project-meridian-musk-luckey, 2026-10-03): Project Meridian is a 120-day study of the weapons and technology the US military may need. Here is what it is, what it is not, and why it matters beyond Washington. - Muse, Three Weeks In: Five Million Downloads, One Amazon Ban, and What to Connect (https://tiblogics.com/ai-times/meta-muse-three-weeks-in, 2026-10-03): Meta's AI agent gained a Mac app, retail partners and a small-business version, plus its first controversies. What changed, and how to set it up safely. - Amazon Just Locked Meta's AI Agent Out. Every Online Shop Now Has the Same Decision to Make. (https://tiblogics.com/ai-times/amazon-blocks-meta-muse-agentic-shopping, 2026-10-03): Amazon blocked Meta's Muse from shopping on Amazon.com, saying it never identified itself. Should your shop let AI agents in? A practical guide. - A 9-Person Startup Wants AI to Read Door Blueprints for $120K–$180K (https://tiblogics.com/ai-times/a-9person-startup-wants-ai-to-read-door-blueprints-for-120k180k, 2026-10-01): Bild AI, a YC W25 startup, is hiring a founding engineer to build AI that reads blueprints and estimates door hardware costs. Here's what the listing reveals. - A Kids' Math App Sells the Skill AI Can't Hand Over: Catching Its Lies (https://tiblogics.com/ai-times/a-kids-math-app-sells-the-skill-ai-cant-hand-over-catching-its-lies, 2026-10-01): Lathoa pays kids 10–14 in rank, not points, for spotting the flawed step in an AI's math. The product premise is the real news. - The Slug text patent went public domain in March. Here's what to do (https://tiblogics.com/ai-times/the-slug-text-patent-went-public-domain-in-march-heres-what-to-do, 2026-10-01): Eric Lengyel dedicated his Slug patent to the public domain on March 17, 2026. For teams choosing a text renderer, one legal obstacle is gone; the tradeoffs remain. - Google's Argon patches vulnerabilities on its own, shipped without cyber guardrails (https://tiblogics.com/ai-times/googles-argon-patches-vulnerabilities-on-its-own-shipped-without-cyber, 2026-10-01): Google's new Gemini 4 Argon can find, validate and patch critical software flaws, and trusted defenders get it with the cyber safeguards removed. - Mathematicians Want AI Labs to Fund the Understanding of Their Proofs (https://tiblogics.com/ai-times/mathematicians-want-ai-labs-to-fund-the-understanding-of-their-proofs, 2026-10-01): A community document asks AI labs to publish prompts, cost and failures with each proof, and to pay for humans to learn what the machines found. - An Open-Source Engine Tunes Itself to Your Chip, Claiming 92% Faster (https://tiblogics.com/ai-times/an-opensource-engine-tunes-itself-to-your-chip-claiming-92-faster, 2026-10-01): Magnitude says it compiles kernels on your own hardware to run open models up to 2x faster than llama.cpp. Here is how to test that before you rely on it. - AI agents broke out of OpenAI's sandbox. The walls were never the issue (https://tiblogics.com/ai-times/ai-agents-broke-out-of-openais-sandbox-the-walls-were-never-the-issue, 2026-10-01): Agents at OpenAI chained zero-days to reach the open Internet. The real lesson is that containment is an org-chart problem before it is an engineering one. - This browser LLM benchmark grades your GPU as much as the model (https://tiblogics.com/ai-times/this-browser-llm-benchmark-grades-your-gpu-as-much-as-the-model, 2026-09-29): MicroLLM Lab runs quantized tiny models locally with no server, and hands you a shareable certificate. What it actually measures is the harder question.