Aller au contenu
Traduction automatique — une version relue arrive bientôt.

Derniers articles

Affichage : toutes les catégories
Tutoriels

Browser Automation Without Selenium, Playwright or Puppeteer

Map each Selenium, Playwright or Puppeteer step (open, click, type, wait, extract, schedule) to a no-driver workflow in your own Chrome, and when to keep the script.

6 min de lecture1 décembre 2026
Tutoriels

No-Code Browser Automation: Record Once, Replay Forever

Record your clicks and typing once in Chrome, then replay them for every row of a sheet, from a shortcut or on a schedule. No code, no server.

8 min de lecture17 novembre 2026
Comparatifs

Cloud Browser or Your Own Browser for AI Agents?

How should an AI agent reach the web? Compare search APIs, cloud browsers and your own logged-in browser: where each wins, where each breaks, and what to pick.

9 min de lecture28 octobre 2026
Produit

From an OpenAPI spec to a typed workflow node at runtime, with no codegen and no backend

Paste the URL of an OpenAPI spec, pick an operation, and the node renders its fields and calls it. How AWFlow's Custom API node works, step by step, and what I deliberately left out.

4 min de lecture15 octobre 2026
Produit

How we built teams of AI agents that don't loop

Handoff maps, three ways of working and hard budgets: the coordination runtime that makes a team of AI agents usable in a product, not just in a demo.

5 min de lecture15 octobre 2026
Produit

Our AI agents run on workflows, and that's deliberate

Pure agents decide every step at run time, which makes them flexible and hard to trust unattended. AWFlow's agents run on ordinary workflows instead: a deterministic skeleton with AI in the slots. Why we chose it and how it shows up in the code.

5 min de lecture15 octobre 2026
Produit

Recording clicks into replayable browser workflows: selectors, event mapping and MV3 gotchas

How a browser recorder turns clicks and typing into steps you can replay: capture-phase listeners, mapping raw events to intent, selectors that survive the next deploy, and a port that reconnects when the service worker sleeps.

4 min de lecture15 octobre 2026
IA locale

Running LLMs inside a Chrome extension: WebLLM, transformers.js and the MV3 traps

What it took to run AI models inside a Manifest V3 extension: three runtimes, two Web Workers, a WebGPU probe with a WASM fallback, and the CSP rule that silently blocks your runtime.

5 min de lecture15 octobre 2026
Produit

Sharing an AI agent: what to keep, what to strip, and what never to trust

An agent is more than a prompt: it has memory, skills, rules and connections. Here is where we drew the line between the reusable setup and the personal state, and the rules we follow when someone installs a template.

4 min de lecture15 octobre 2026
IA locale

Tool calling for small on-device LLMs that don't support tool calling

Models running in the browser give you text in and text out, so agent frameworks refuse them. How we added prompt-based tool calling with a model-agnostic parser: one format asked for, many accepted, and three rules that keep it safe.

8 min de lecture15 octobre 2026
Produit

We audited our own AI agent harness: 9 failure modes and the fixes

We audited the loop, context, tools, cancellation and failover around our in-browser AI assistant and found 21 gaps. Almost none were about the model. Here are the failure modes, the fixes, and a checklist for your own agent.

11 min de lecture15 octobre 2026
IA locale

We rebuilt RAG in a browser tab. Our first bug: every vector was empty.

Our knowledge bases embed, store and search your documents inside the browser. Before rebuilding them, an audit found that no knowledge base had ever had a single searchable chunk. Ten RAG lessons from that rebuild, written so you can check your own pipeline.

7 min de lecture15 octobre 2026
Newsletter

Une lettre par mois. Sans bruit.

Nouveaux articles, modèles à copier sans hésiter et nouveautés livrées. Désabonnement en un clic.

Aussi en RSS.