Tactical writing for founders building AI products. What we learn shipping marketing, healthtech, and fintech systems, written down while it is fresh.
Agentic commerce means an AI agent, acting for a person, finds a product, checks it is available and completes the purchase through your store's data and APIs instead of its pages. To sell to that buy
Retrieval-augmented generation is the default architecture for most production LLM applications now, and for good reason: it's how you get a model to answer from your data instead of its training set.
There's a failure mode common to almost every AI stack decision we see: teams optimize the wrong layer. They spend weeks benchmarking models and picking a framework, then ship a system that breaks on
The stack for building an AI agent in 2026 is smaller than the tool lists suggest: a frontier model with solid tool-calling, one orchestration layer (LangGraph or CrewAI for code-first teams, n8n for
Every article on this blog is written by someone who built the thing; not a content marketer reading docs. Real lessons from production, written down while they are still fresh.
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