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.
Poke holes on demand
Before you even submit, ask the AI to poke holes in a draft: five to eight pointed questions about edge cases, failure modes, and scope gaps, posted as comments you resolve one by one.
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
Threaded comments with @mentions and quoted-text anchors, on any artifact. Unresolved comments hold up approval, so concerns get answered, not buried.
An AI red team
An optional adversarial pass that critiques each draft against your real codebase and posts its findings as comments for the team to resolve. Business plan.
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.
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 that can say no
Reports end in structured verdicts: acceptance criteria met or missed, safeguards complied or violated, tests passed or failed. Violations block approval until an admin overrides with a written reason.
Or hand off to your own agent
Not on the agent plan? Export any approved blueprint as a ready-to-paste implementation prompt, acceptance criteria and analysis included, for Claude Code, Cursor, or whatever your engineers already use.
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.
Extracted from your code
Point REEZN at a repository and the AI proposes the norms already at work in it. Every proposal waits for human review: nothing binds until an admin approves it.
Born from incidents
Paste a postmortem and get proposed safeguards and norms that would have blocked or flagged the failure. The lesson becomes a rule once, instead of a story people retell.
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.
Living blueprints

Every service gets a current-state blueprint. And it stays current.

Feature blueprints freeze a decision in time. The System view is the other half: one living document per service describing what it is today: purpose, domain model, key operations, rules, integrations, constraints. Generated from your repositories, approved by your team, and kept honest automatically.

Brownfield in minutes
Generate blueprints for existing services straight from their repositories. The AI reads the code; your team approves the description of reality.
Updated when you deliver
When a feature ships through REEZN, every touched service gets a proposed revision folding the change in. Approve it and the document moves with the code.
Drift detection
On a cadence you set, REEZN compares each blueprint against what actually changed in the repo. Meaningful drift becomes a proposed revision; lockfile noise is filtered out. Team plan and up.
Diff-first review
Every revision is reviewed as a diff against the current document, so approving an update takes a minute, not a re-read.
Delivery

Know if delivery is healthy. See exactly where it's stuck.

Every feature's journey through the pipeline is recorded as it happens: each stage change, each verdict, each override. The per-project Delivery dashboard turns that record into the answers a lead actually needs: is quality holding, where does work queue up, and what did it take to ship.

The per-project Delivery dashboard, built from the pipeline's own record. No timesheets, no surveys.
Find the bottleneck
Time spent in every stage, from first draft to delivered, per feature and per project. When work queues up at a review gate or an implementation stalls, it shows up as a number you can act on, not a feeling in standup.
Track delivery health
Acceptance criteria met, partial, or missed. Test results. Safeguard violations. Watch quality hold steady while the pace goes up, or catch it slipping the sprint it starts, not the quarter after.
Throughput you can show
What shipped and what it took: features delivered, pull requests opened, lines changed. The when-someone-asks numbers, collected for you as a side effect of the workflow.
Overrides on the record
When an admin overrides a blocked approval, the who and the why are stored and counted. If deliveries are leaning on overrides to get out the door, you'll see it in the trend.
Integrations

It fits the tools you already trust.

REEZN sits above your editor and your repositories, not between you and them. Bring your own AI provider, keep GitHub as the source of truth, and let your coding agents read from REEZN directly.

Bring your own AI
Anthropic, OpenAI, or Google: your provider, your model, your API key. Prompts go to your provider under your key, and nothing is retained for training.
MCP for your coding agents
A read-only MCP endpoint your agents can query for approved blueprints, norms, and feature status. One command to add it to Claude Code or Cursor. Available on every plan.
Grounded in your repositories
While drafting, the AI searches and reads your linked repos, so plans reference the code you actually have, not the code it imagines.
GitHub-native delivery
Scoped tokens you control, branches and pull requests in your own repos, and your test suite as the referee.
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.
An Inbox that keeps up
Review requests, approvals, mentions, rejections, and failures land in an in-app Inbox, with optional email notifications per person.

See it with your own features.

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

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