Executive Summary

Treat features as hypotheses. Measure. Learn. Repeat. Ship faster by getting less precious about being right.

Shipping is an experiment loop. Every feature is a hypothesis with a measurable prediction.

The fastest teams aren’t reckless—they’re disciplined about learning and ruthless about killing weak hypotheses.

“Production is where good ideas meet boring reality. The winners instrument the boring part.”
AI & Dev Dispatch

The Core Idea

Most “AI failures” are system failures: missing contracts, missing logs, missing ownership lines. Fix the system, and the model suddenly looks smarter.

Contract

Define the stable input/output boundary first.

Logs

Capture raw facts, not just summaries.

Policy

Centralize allow/deny decisions and expose reason codes.

UX

Make failure legible and recoverable.

// Stable contract surface (gateway request)
POST /.netlify/functions/gateway-chat
{
  "org_id": "...",
  "user_id": "...",
  "model": "gpt-4.1-mini",
  "messages": [...]
}

That snippet is not a complete app. It’s a reminder: your system should prefer verifiable facts over narrative.

Failure Modes You’ll Actually See

  • Vanity metrics

    Track outcomes that matter, not dashboards that look impressive.

  • No control group

    Without comparison, you don’t know if you improved anything.

  • One-way doors everywhere

    Most decisions are reversible; treat them that way.

  • No postmortems

    If you don’t write down what happened, you’ll repeat it.

Implementation Notes

Write hypotheses with predicted outcomes and a measurement plan before building.

Ship smaller changes, measure sooner, and stop defending bad ideas with more code.

Keep a lightweight ‘experiment log’ so the team learns across cycles.

For architecture and rollout planning, use the Contact Hub.

Ship‑Ready Checklist

Use this as a pre‑deploy gate. If you can’t check these boxes, don’t pretend you’re “done.”

- A single source of truth for versions (prompt/policy/schema) and a way to display them in-app.
- Request correlation ID visible in UI, logged server-side, and searchable.
- Explicit failure UX: what happened, why, and a safe next step.
- An audit trail you can replay: inputs, decisions, outputs, and cost facts.
- A small test harness (even 20 cases) that runs before deployment.

Want this turned into a working product?

Use the Contact Hub to scope features, security, billing, and the deployment plan.

Open Contact Hub