← Zyflow agents

codename: Atlas · Requirements & specs

Vague idea in.
Production-ready spec out.

Atlas turns a thin ticket into a well-formed requirement, problem, scope, MVP, acceptance criteria, or asks the sharp questions that close the gap. It never fabricates: proposals are marked PROPOSED until you confirm.

30–50%
of PM time is spec-writing
Minutes
idea → structured PRD
PROPOSED
never guesses, marks it
Atlas pixel-art persona
“users keep losing work”slack: can we autosave?ticket #214
Requirementspec-ready
Problem
Scope
MVP
Acceptance criteriaProposed

The hardest part of a feature is writing down what it actually is.

Translating a hallway conversation into a PRD, with a clear problem, a bounded scope, user stories and unambiguous acceptance criteria, is high-cognitive-load work. It's where features get vague, where engineers and stakeholders quietly disagree, and where half a PM's week disappears.

How it works

Three steps from notes to a spec your team can build.

  1. 1

    Describe

    Paste your notes, a thin ticket, or a few lines of intent. Messy is fine.

  2. 2

    Structure

    Atlas drafts a PRD: problem, scope, MVP, user stories and acceptance criteria, flagging what it had to assume.

  3. 3

    Confirm & export

    You review, answer any batched questions, and push the spec to Linear, Jira or GitHub.

Sample output

A real transformation, not a longer prompt.

Atlas doesn't hand you a wall of prose. It produces a structured requirement with a bounded scope, decomposed user stories, and acceptance criteria that include the edge cases, the document an engineer can pick up and build from without a follow-up meeting.

Anything it can't infer is marked PROPOSED and surfaced as a question, so the gaps are explicit, never silently invented.

Raw ticket

“we need a way for users to export their data, finance keeps asking. csv probably. make it not slow”

Atlas · structuring

PRD · data export

spec-ready
Problem
Finance can't self-serve data; manual pulls block close.
Scope
CSV export of account data, async for large sets.
User story
As an admin, I export my org's records to CSV…
Acceptance
≤10s for 100k rows · email link when ready · audit-logged
Out of scope
Scheduled exports, XLSX, flagged PROPOSED

Who it's for

One agent, three kinds of relief.

Founders

Go from a napkin idea to a spec your first engineers can build, without hiring a PM yet.

Product managers

Kill the blank-page problem and keep every spec consistent, so reviews are about the product, not the formatting.

Engineering teams

Receive clear, unambiguous acceptance criteria with the edge cases already considered, fewer mid-sprint surprises.

Capabilities

Requirements engineering, done properly.

Requirements gathering

Pulls structure out of chat, notes and thin tickets, and asks when intent is unclear.

Structured PRDs

Problem, scope, MVP, success metrics, a consistent shape every time.

User-story decomposition

Breaks the work into stories an engineer can estimate and own.

Acceptance criteria

Testable criteria that include the edge cases, not just the happy path.

Anti-fabrication

Marks assumptions PROPOSED and routes open questions instead of guessing.

Export anywhere

Pushes finished specs to Linear, Jira and GitHub in the right format.

Why not just a chatbot?

A generic AI will happily make things up. Atlas won't.

Ask a general chatbot for a spec and it produces something plausible, including details it invented, with no signal about what's real. Atlas is built for requirements: it holds a consistent PRD structure, it distinguishes what you said from what it assumed, and it gates a spec as ready only when the requirement is genuinely knowable.

This very page started as a three-line ticket. Atlas turned it into the requirement we built from.

  • ~

    Generic chatbot

    Confident prose, invented details, no structure you can rely on.

  • Atlas

    Consistent PRD, assumptions flagged, gated spec-ready, built to be trusted.

Engagement

Run Atlas on your next five tickets.

Bring real, half-formed requests. We'll have Atlas turn them into specs your engineers can build from, and you judge the quality against what your team produces today.

Get started

Turn your backlog into buildable specs.

Book a demo and we'll run Atlas on a few of your real tickets, so you can see the PRDs, the clarifying questions and the export into your tracker.

  • Free scoping workshop, no commitment
  • Pilot measured against your own baseline
  • Human review gates from day one

No spam. We reply within one business day.