Insights

The IdeioWorld lab notebook

Practical writing on building AI that works in production.

Shipping AI agents to production: a field guide

Everyone can demo an agent. Shipping one that runs 24/7 without surprising you is a different discipline. Here's the playbook we use.

Everyone can demo an agent. Shipping one that runs 24/7 without surprising you is a different discipline. Here's the playbook we use.

Most RAG systems fail not because of the model, but because of retrieval. Here's how we build retrieval that returns the right context.

Running vision models on-device unlocks new products — if you can navigate the trade-offs. A practical guide.

Token costs can make or break an AI product. Here's how we keep unit economics healthy without sacrificing quality.

Trust is a design problem as much as a model problem. How we design interfaces that users believe in.

The frontier moves monthly. Betting your architecture on a single model is a risk we design against.

Free 30-minute strategy call

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