GENERAL PUB_DATE: 2026.W01

FROM “AI AGENCY IN 24 MINUTES” TO AN INTERNAL AI MVP

A short video demonstrates standing up a minimal AI service in about 24 minutes by scoping a single use case and wiring an LLM-backed workflow end-to-end. For t...

A short video demonstrates standing up a minimal AI service in about 24 minutes by scoping a single use case and wiring an LLM-backed workflow end-to-end. For teams, the practical takeaway is to time-box a thin slice, use off‑the‑shelf components, and ship a measurable demo with basic instrumentation for latency, cost, and quality.

[ WHY_IT_MATTERS ]
01.

Rapid prototyping de-risks AI bets and validates value before deeper integration.

02.

A thin-slice demo clarifies data needs, guardrails, and operational SLAs early.

[ WHAT_TO_TEST ]
  • terminal

    Stand up evals on representative data to track quality regressions, prompt drift, and failure modes.

  • terminal

    Instrument end-to-end latency and per-request cost with alerts and budgets tied to usage.

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