Getting started

Recommended first move

• Pick the workflow that hurts the most today
• Open the guided demo to understand the output shape
• Load the flagship example in the generator
• Replace the example with your own source material once the structure feels right

Use with ChatGPT or Claude

Best practices

• Start with the in-app flow when you want speed, saved outputs, and export controls
• Use the Markdown export for the cleanest copy-paste fallback flow
• Keep the output schema headings intact so the structure stays reliable
• Leave unclear names, dates, or ownership signals in the source so the model can flag them instead of guessing

Customize outputs by channel

Suggested adaptations

• Jira: add ticket prefixes, story-point guidance, or assignee formatting rules
• Notion: add document headings, tables, or implementation notes
• Slack: shorten the summary and surface the top blockers first
• Email: move the executive or leadership summary to the top of the output

How to run a team pilot

Recommended sequence

• Choose one repeated team ritual such as meeting recaps or weekly status updates
• Use real source material during the pilot so edge cases appear early
• Keep one human review step for owners, dates, and stakeholder-sensitive language
• Save one approved output as the team's example of record

Workflow selection guide

Use Meeting to Execution when

• your team finishes a meeting and still needs decisions, owners, and follow-up packaged cleanly

Use PRD to Stories when

• product intent exists, but engineering handoff is still too loose or too narrative

Use Weekly Status Pack when

• weekly updates are scattered across notes, Jira comments, and team chat

Use Release Readiness Pack when

• launch prep is split across QA notes, approvals, support readiness, and operational concerns

Use Stakeholder Update Builder when

• progress needs to be turned into a crisp update for leaders, sponsors, or cross-functional stakeholders

Use Roadmap Decision Brief when

• a roadmap or prioritization choice needs a cleaner recommendation with visible tradeoffs

Reviewing outputs safely

Always review

• ownership and due dates
• decision wording used with leaders or clients
• dependencies and unresolved blockers
• any detail that could trigger execution work downstream

Implementation guidance

Strong rollout pattern

• start with one workflow
• standardize the output format
• adapt it to the team's preferred channel
• document one approved example and one prompt export

Data handling guidance

Good practice

• redact company and customer names where needed
• preserve the ambiguity that matters for the workflow
• keep internal IDs and secrets out of examples
• keep one approved sanitized example for onboarding new teammates

Support and customization

Common customizations

• Jira ticket formatting
• Notion documentation headings
• leadership email summary style
• team-specific acceptance criteria phrasing

Commercial rollout model

Current routes

• Pricing: compare Starter, Team, Advisory, and Lifetime access options
• Buy: move directly into checkout or request rollout help
• Contact: request a walkthrough or tailored recommendation
• Support: get help with pilots, adoption, and workflow configuration

Trust and policy surfaces

Included pages

• Privacy: explains account, output, and workflow data handling at a practical product level
• Terms: explains usage expectations, billing scope, and human-review responsibilities
• Security: explains safe usage, infrastructure posture, and customer responsibilities
• Support: explains how buyers and pilot teams can get help

What success looks like

Signals to look for

• fewer manual rewrite passes after meetings or reviews
• cleaner engineering handoff from product requirements
• weekly reporting that stays consistent across different owners
• faster movement from rough notes to shareable operational output