REEZN
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  What's inside REEZN

Every step from rough idea to shipped software, covered.

REEZN is one continuous workflow: describe what you need, let AI draft the plan, review and approve it as a team, and hand it off with total confidence. Here's what that looks like, piece by piece.

Prefer to see it? Read a full example blueprint
Plan

Describe the idea. Get back a plan worth arguing about.

You write what you need in plain language: the goal, the scope, what success looks like. REEZN's AI turns it into a structured analysis and a per-service blueprint that answers the questions your team would otherwise discover halfway through the build.

AI-drafted analysis
A full analysis of your feature: requirements, risks, edge cases, and open questions, drafted in minutes, written to be reviewed, not rubber-stamped.
The REASONS blueprint
One canvas per service covering seven questions: what's being built, the moving parts, why this way, how it fits, what happens when, your standards, and your guardrails.
Feature templates
Start from proven shapes: your org's own templates or built-in ones, so every feature request arrives complete instead of as a one-liner.
Versioned, not overwritten
Send a plan back with requested changes and it opens a fresh version. Nothing is lost, and every revision stays on the record.
Review

AI drafts. People decide.

Nothing moves forward without human sign-off. Every analysis and every blueprint is reviewed, discussed, and explicitly approved by the people best placed to judge it, and the workflow makes skipping that step impossible.

Structured approvals
Analysis first, then each service's blueprint. Features advance stage by stage, and only reviewers and admins can wave them through.
Comments that block
Anyone can comment on any artifact. Unresolved comments hold up approval, so concerns get answered, not buried.
Request changes
Not convinced? Send it back. The feature returns to draft as a new version, with the feedback attached and the old version preserved.
A complete activity log
Every submission, approval, and change request: who, what, when. The answer to 'why was it built this way?' is always one click away.
Standards

Set your standards once. Every plan respects them.

The way your team works: the patterns you trust, the lines you never cross, the people you build for, is captured in REEZN and woven into every plan the AI drafts. Automatically, every time.

Norms library
Your technical norms and proven patterns, written down once and applied to every analysis and blueprint. No more tribal knowledge.
Safeguards
Hard limits: privacy boundaries, usage caps, things that are simply off the table. Every plan must respect them, no matter what the AI suggests.
Personas
Who you're building for, described once and kept in view, so plans are judged against real users, not assumptions.
Scoped where it matters
Norms and safeguards can apply org-wide or to a single project, so a mobile team and a payments team each get the right rules.
Organizational memory

A knowledge graph that learns your product as you go.

Every approved plan, every norm, every document teaches REEZN a little more about your product: the services, the concepts, the rules, the people. That knowledge becomes a living graph the AI consults while drafting, so plan #50 is written with everything plans #1–49 established. Try it: click a node, drag things around, and approve a plan to watch the graph learn.

Guest checkoutCheckout servicePayments APICart30-day refund ruleStripeMobile shopperPCI complianceOrder trackingNotification service
featureserviceconceptrulepersonatechnology
Example graph · click, drag, approve
Payments APIservice· 4 connections
Handles charges and refunds. The graph knows which rules constrain it and which features depend on it.
Builds itself
Entities and relationships are extracted automatically from approved plans, norms, and uploaded docs. No wiki to maintain, no fields to fill in.
Consulted mid-draft
While drafting, the AI can search the graph and pull in exactly the entities a feature touches, so context arrives on demand, not as a wall of text.
Curated by you
Admins can browse the graph, refine entities, and upload documents to teach it: the AI keeps it merged and de-duplicated.
Ship

From approved plan to opened pull request.

On the Business plan, an approved blueprint doesn't stop at a document. REEZN's agent implements it: per service, in your repositories, with your test suite as the referee, and opens pull requests your team reviews like any other.

Agentic implementation
One agent run per service: it clones your repo, works from the approved blueprint, runs your tests, and pushes a branch. Your standards ride along.
Pull requests, not surprises
Every implementation lands as a PR in your repo with a summary and diffstat. Your existing review process stays exactly where it is.
Verification reports
Each PR ships with an AI verification report: what was built, how it maps to the blueprint, and what the tests said, reviewed and approved by a human before anything counts as delivered.
Bring your own AI
Anthropic, OpenAI, or Google: your provider, your model, your API key. Switch any time; the workflow doesn't change.
For teams

The right people, with exactly the right powers.

Four roles and team-based project access keep responsibility clear: authors propose, reviewers approve, observers stay informed, and admins run the org. Everyone sees what they should, and nothing they shouldn't.

Roles that mean something
Admin, reviewer, author, observer: enforced server-side, not just hidden buttons. Approval power sits only where you put it.
Teams & project access
Group people into teams and grant projects per team. A contractor sees one project; your platform leads see them all.
Invite by email
Add someone by email with a role attached. The moment they sign in, they land in the right org with the right permissions.
Multiple projects & services
Model your real architecture: projects contain services, features span the services they touch, and every blueprint is scoped accordingly.

See it with your own features.

Create an org, describe one feature, and watch it become a reviewed, approved plan.

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