STOA
AlphaAtlas · 01
STOA

A scenario gardenfor AI product work.

Turn rough product intent into inspectable scenarios, AI-agent handoffs, and verification evidence — before the code runs away from the decision.

stoa · walkthrough · 00:00 / 02:14v0.1
Intent capturedPrompt compiledEvidence tracked
The path

Keep agent speed attached
to product judgment.

Four phases. The same trail every scenario walks — from rough product moment to verified delivery.

01Phase 01

Intent

Start with the product moment, the user, and the constraint that matters.

02Phase 02

Scenario

Shape it into typed cards for actor, world state, trigger, behavior, guardrails, and evidence.

03Phase 03

Agent Run

Compile a clean handoff for Codex, Claude Code, Cursor, or the CLI path you already use.

04Phase 04

Evidence

Keep verification attached to the scenario so speed does not erase judgment.

What STOA gives you

A workspace for the context
agents usually lose.

STOA is not another blank chat box. It is a structured way to describe the work, test the handoff, and keep the trail visible as AI agents move through implementation.

Handoff score

100

AI ready
$ stoa evaluate scenario_executable_evidence_evaluate_cli --against . --json{ "journal": ".stoa/journals/.../2026-04-29T20-13-13-470Z.json" }{ "verificationChecksPassed": "1/1" }{ "status": "passed", "source": "real run journal" }

Scenario scoring

STOA makes weak handoffs visible before an agent starts writing code.

Guided categories

Actor, Starting Context, Guardrails, and Evidence become practical prompts, not schema trivia.

Product Canvases

Keep unrelated products isolated so exports and AI context do not bleed across work.

CLI and skills

Use scenarios from the app, the CLI, or reusable agent skills without changing the source of truth.

Implementation handoffs

Compile one scenario into a worker-ready packet with constraints and verification targets.

Traceable delivery

Link scenarios to Linear, branches, PRs, and evidence so the trail survives the chat.

Why scenarios now

When agents write the code, the spec is the one thing they can’t game.

Most teams are still bolting agents onto old workflows and watching productivity sag. The teams pulling real lift do something different: they keep scenarios outside the chat as a holdout set — behavioral specs the agent never sees while it works.

STOA gives those scenarios a home. They become portable context — scored, exported, and linked to delivery — so the next agent, the next teammate, and the next “should we build this?” all start from the same trail.

The framing this is built on · Nate B. Jones
Release list

Get the next build notes
and alpha openings.

A note from Andrew

The alpha is still intentionally narrow. Signups are tracked so I can learn who the workflow is resonating with — not to bury you in launch email.

Release updates, alpha invites, and build notes. No drip campaign.