Agents

Everyone wants their LLM to be an expert in their thing — their product, their policies, their field. The default playbook is to fine-tune a model on it. That’s expensive, opaque, frozen the day you finish, and it still makes things up. There’s a cheaper, more honest move: don’t teach the model your domain. Hand it a wiki. The idea Take your pile of documents. Have a model read all of it and write the wiki you wish existed — every concept as its own page, every relationship as a link between pages, the whole thing backed by a database the model can search and traverse. ...

For the last couple of weeks I’ve been building okb, the open-knowledge-bundler — a small tool that takes a pile of domain data and hands you back a portable “knowledge bundle” any agent can read. Under the hood it builds a DuckDB knowledge graph, exports it as a cat-readable open knowledge format bundle packaged as a Claude-compatible “skill,” and ships a chat agent that answers questions about it. The whole thing runs fully local, on a single AMD chip on my desk. No API keys, no cloud, no embedding server. ...

There’s a dirty secret in the AI agent space: most agent frameworks hand the model a bag of tools and pray. The model decides what to query, how to reason about results, and what conclusions to draw. For demos, this works great. For anything you’d actually bet your job on — compliance audits, student intervention decisions, infrastructure monitoring — it’s a liability. What if the model didn’t have to reason at all? ...

In a testament to the progressive march of technology, OpenAI has emerged as a herald of the AI renaissance. Recently, the distinguished AI think-tank cast a spotlight on future digital directions at its inaugural Developer Day event. This blog endeavors to capture the pivotal moments and revelations that could very well chart the course for AI’s role in our everyday lives. Custom GPTs Made Easy A remarkable stride in AI accessibility was announced, shattering the barriers to entry for custom GPT utilization. No longer confined to the realm of software engineers, the ability to customize powerful language models is now in the hands of the many. A diverse audience now holds the keys to unlock an AI that resonates with their unique needs, epitomizing a radical democratization of AI technology. ...