— Écrits
Notes de terrain sur AI
Tous les articles de SetKernel Digital Inc. sur ce sujet, du plus récent au plus ancien.
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AI meeting notes and transcription for small business: what is safe and what is not
AI notetakers can save real time, but they record, transcribe, and sometimes train on your conversations. A practical guide to the consent and data-handling risks, how to set them up safely, and when to leave the recorder off.
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Before you turn on Microsoft 365 Copilot, fix your oversharing
Copilot only shows people what they can already access. That is exactly the problem in most tenants. Here is how to find overshared SharePoint and OneDrive content, clean up permissions and links, and run a sensible pilot before rolling Copilot out.
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What it costs to run a retrieval-augmented AI system on Cloudflare
The honest cost anatomy of a RAG system on Cloudflare — embeddings, Vectorize, model inference, storage, and the request path — plus how the bill scales and where it surprises people. A method to estimate yours, not a fake total.
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MCP Servers in Production: When to Build, When to Skip
Model Context Protocol is the best primitive Anthropic shipped in 2024 — and the most over-applied. A field guide to when an MCP server is the right answer, when it's overkill, and how to operate one in production on Cloudflare Workers.
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Structured output from language models: getting reliable JSON instead of prose
Free-text model output breaks pipelines. Here is how schema-constrained generation, tool calling, validation, and retries turn a language model into a component you can build on — and where the approach still fails.
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RAG evaluation: how to know your AI answers are actually correct
A retrieval system that sounds confident is not the same as one that is right. How to build an evaluation set, measure retrieval and faithfulness, run human spot-checks, and catch regressions before your users do.
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When Not to Use an LLM
A working checklist for keeping large language models out of the places they don't belong: deterministic logic, unverifiable outputs, high-stakes decisions, and problems a database query already solves.
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Making Your Website Agent-Ready: What Actually Matters in 2026
AI agents and answer engines read your site before people do. What makes a site legible to them — structured data, markdown, an AI-crawler policy, and MCP.
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Workers AI vs OpenAI: A Cost-Quality Matrix at Low Volume
Most production AI features default to OpenAI by reflex. They shouldn't. A real comparison of Workers AI, OpenAI, and Anthropic Claude across the four tasks that actually show up in client engagements — embeddings, generation, transcription, classification — with real numbers and a routing strategy that uses each for what it's good at.
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Production RAG on Cloudflare Without LangChain
A 200-line RAG pipeline on Cloudflare Workers + Vectorize + D1 — the five primitives that matter, why frameworks rot at the wrong layer, and how to keep retrieval debuggable in production.