Product playbooks

On the schedule you choose, a triage agent reads raw ideas, scores them with the right prioritization framework, ranks them with explicit reasoning, self-critiques the ranking, and proposes a groomed backlog for you to approve.

Attach interview notes and a research agent synthesizes evidence-backed patterns, attributed quotes, and a Jobs-to-be-Done map into a living discovery doc, proposes follow-ups, and verifies every finding against its source before you approve.

Assign a research goal and persona and a research agent drafts a tailored prep plan, a non-leading Mom Test interview script, research-backed personas, and a note-taking template for you to review and approve.

Assign your goals and bets and a PM agent drafts an outcome-oriented roadmap — bets grouped under measurable outcomes across now/next/later, output-shaped items rewritten as outcomes, reasoning explicit — self-critiques it, and hands it to you to approve.

Assign a feature brief and a PM agent drafts a structured, engineering-ready PRD — problem with evidence, users, solution, success metrics, user stories with acceptance criteria, out-of-scope, and open questions — self-critiques it, and hands it to you to approve.

Assign an approved PRD and a PM agent proposes epics, vertical-slice stories, and tracer-bullet tasks — with splits, dependencies, and acceptance criteria — self-reviews them, and after your approval can publish the issues to your connected tracker.

Define your ICP personas, then run each one through a landing page, onboarding, checkout, or product flow with browser automation to get scored reports and prioritized improvement tasks.

On each release, a writer agent pulls the merged work since the last release, drafts a user-facing changelog grouped into New, Improved, and Fixed in your house voice, self-edits against a quality bar, and lands one approval before you publish.