Practice · 2023–now · AI Present

Chatbot wrapper as product

Slap an LLM on the homepage and call it AI-native — "we have an app now," 2010 edition.

Chatbot wrappers failed as products because a prompt over public docs is a feature, not a company. They stuck as support widgets with clear metrics. The costly fad was fundraising on the chat box while competitors shipped workflows with ownership and evals.

Cost of the fad

Homepage chat boxes billed as AI-native platforms while the roadmap stayed FAQ search with a spinner. Acquisition decks outpaced retention.

Patterns

Context

Demos consolidate; evals remain

AI pair programming changed how code is typed faster than how it is reviewed. Agent frameworks and standalone vector stores sorted into demos versus durable plumbing; mid-market RAG folded back into Postgres. The permanent layer is familiar: evals that gate deploys, model routing for cost, tool protocols instead of plugin snowflakes, and humans who own production. Autopilot rewrites and vibe-shipped auth middleware are still big-bang migrations with better slides — and a longer on-call.

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