You donβt need a βstrategy offsite.β You need one workflow turned into one working featureβfast.
The 2-week loop
Day 0β1 β Pick one thing.
We choose a workflow that touches revenue or time saved: job intake, event publishing, lead routing, simple search.
Day 2β5 β Build while teaching.
We pair. I explain just enough (prompts, data plumbing, guardrails) while wiring the real thing.
Day 6β10 β Ship + measure.
We launch quietly, set one metric (e.g., form submissions, map clicks, search CTR), and learn.
Keep the surface small; make the feedback tight. Thatβs how AI projects stick.
What we build (common wins)
- Intake β Map/Search: posts become GeoJSON; Leaflet renders events/jobs within 50km automatically.
- Tiny search: CSV/Markdown β SQLite/JSON β instant search with zero vendor lock-in.
- Content helpers: safe prompt patterns + human review β faster drafts, consistent tone.
Guardrails I insist on
- Local-first data: you keep a simple export (CSV/JSON/SQLite) that survives any platform.
- Explainability: prompts and transformations live in plain text in your repo.
- Rollback: everything shippable in under an hour, reversible in five minutes.
What you leave with
- A working prototype, not homework.
- A playbook (readme + prompts + scripts).
- A next-feature short list ranked by ROI.
If you want slides, Iβm not your person. If you want something live next week, Iβm your guy.
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