You've spent 15+ years in marketing.
Now ship with AI.
Not another pile of AI ideas. One artifact a colleague could read, an honest review against named criteria, and your next sprint chosen — not guessed.
Operator first 14 days
Choose one workflow worth improving.
A readiness score, a sharper AI-versus-human boundary, and a pilot path you can defend instead of guess at.
Leader first 14 days
Make the AI case measurable.
A clearer business case, a measurement frame leadership can inspect, and a team operating change that does not depend on hype.
Builder first 14 days
Get the build honest before it gets bigger.
A Build Reality Check, a Build Brief for one real user, and a Build Plan that survives contact with time, risk, and QA.
Proof
Real work, clearly sourced.
Operator examples come from the course material. Builder examples come from Chandler's own shipped-product posts.
Operator proof
Real operator artifacts
Course-backed templates, then your own version.
Course template from AI-Native Media Operations
AI-first workflow audit
The audit structure for naming what AI handles, what stays human, and where the real risk lives.
See the course modelCourse template from AI-Native Media Operations
90-day rollout timeline
A concrete rollout artifact for sequencing one pilot, team changes, and honest decision gates.
See the course modelLeader proof
Executive artifacts, not theater
Briefs, ROI logic, and decision gates that leadership can actually inspect.
Course template from AI-Native Media Operations
Executive AI pilot brief
A one-page decision artifact for naming the workflow, success measure, risk, and stop condition.
See the course modelCourse template from AI-Native Media Operations
ROI estimation worksheet
A sober model for time saved, accuracy, cost, assumptions, and the point where the pilot should stop.
See the course modelBuilder proof
From Chandler's own build journey
Public posts from real shipped work, not hypothetical case studies.
From Chandler's own build journey
What shipping DIALØGUE taught me about multilingual AI products
A real product post-mortem on localization, evals, and where product-management work starts.
Read the postFrom Chandler's own build journey
Nobody tells you: the real work starts after the AI says 'done'
What changed after shipping the iOS app: review loops, bug surfaces, and the parts AI did not finish for me.
Read the postHow Prova works
One sprint at a time. The same rhythm on both paths.
Courses teach theory. Generic AI gives an answer, not a path. Prova is built around the part that stays hard: operational judgment — what to learn first, what to ignore, what is safe to change.
01 · Pick
Pick one thing.
Operators pick a workflow. Builders pick a build. One thing, named clearly.
02 · Submit
Submit a real artifact.
Not a quiz, not a reflection. A workflow audit, a build brief, a rollout plan.
03 · Review
Get a rubric-based review.
Pass, revise, or fix-foundation. An honest verdict against named criteria.
04 · Next
Next sprint chosen.
The roadmap adapts to the evidence in your last review. Not guessed.
Operator first sprint
Workflow Audit
One named risk, one safer hand-off, one defensible AI-versus-human boundary — for a workflow you actually run.
Leader first sprint
Executive AI Readiness
One readiness audit, one stakeholder case, one measurement lens — so AI adoption has a decision path, not just a mandate.
Builder first sprint
Build Brief
One real user, one smallest useful version, one proof target — written before any code or any tool choice.
Questions
Common questions before you start.
How is this different from ChatGPT or Claude?
Generic AI gives you answers, not a path. Prova sequences what to learn first, reviews your artifacts against named criteria, and chooses your next sprint based on the evidence in your last one. The product is the rhythm, not the chat.
Do I need to know how to code?
No. The Operator path is built for marketers improving their team's work — no code required. The Builder path teaches one opinionated stack (Vercel + Supabase + Claude Code or Codex) one sprint at a time. For pure coding work, Codex is often the stronger choice.
What if I don't have a project idea yet?
Your first sprint is built for that. Operators audit a workflow they already run. Builders write a Build Reality Check — naming what's actually worth building, before picking a tool. You don't need to arrive with a plan.
Can I switch paths later?
Yes. The assessment routes your first sprint, but the roadmap adapts. Switch from Operator to Builder (or back) without losing progress. Most people end up doing both eventually.
Background
Why this is built the way it is.
From Chandler
I spent 20 years in advertising — most of them as a VP at a global media agency — before I wrote my first line of code. I'm building this because people keep asking me how I made that transition, and because the gap I kept seeing was not information. It was sequence.
Courses taught theory. Generic AI often gives an answer, but not a path. The part that stayed hard was operational judgment: what to learn first, what to ignore, what is safe to change, and what is still too fragile to trust. Prova is built around that part.
3,500+
AI-assisted commits
3
shipped AI products
500+
blog posts on the journey
Full Access
$20/month
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- Sprint packets with templates, worked examples, and support materials
- Rubric-based reviews — pass, revise, or fix-foundation
- Roadmap that adapts to your review history, not just your goals
- Coach conversations tied to your active sprint
- iOS app with the same sprint, chat, and review surfaces