The software intent graph

A living model of what your software must do.

Proof reduces the work between a software change and the evidence required to trust it.

Proof is AI-native software assurance, and the Software Intent Graph is the product.

Explore the live graph Watch the full walkthrough → seeded product demo; read the labels first

Proof, working · the film

The model

One component, and everything Proof records about it.

COMPONENT the unit that owns behavior REQUIREMENTS what this component must do dependencies the requirements this one rests on hazards what must not happen when it fails implementation the code and documentation that carry it evidence checks and demos for this revision ISSUES known problems, still open CHANGES every edit that moved the behavior features new or changed intent, with its evidence defect records the verified history of a fixed known issue
Component
the unit that owns behavior
Requirements
what this component must do
Dependencies
the requirements this one rests on
Hazards
what must not happen when it fails
Implementation
the code and documentation that carry it
Evidence
checks and demos for this revision
Issues
known problems, still open
Changes
every edit that moved the behavior
Features
new or changed intent, with its evidence
Defect records
the verified history of a fixed known issue
The object model · Nothing in this figure is verified, stale or violated. It is the shape of what Proof records, before anything has been claimed about it.
01 Intent

Model what must stay true.

Requirements become queryable objects with owners, dependencies, hazards, and the evidence that keeps them true.

Every system already has intent. It sits in the code, in tickets, and in the people who were in the room.

Proof writes it down as objects. A requirement states what the software must do, in one sentence, with a recorded approver. It names the evidence that keeps it true. A check, a scenario, or a demo. That evidence runs against this revision.

IN THE CODE IN THE TICKET SYSTEM IN PEOPLE’S HEADS REQUIREMENT APPROVED ON THE RECORD NAMES THE EVIDENCE IT NEEDS RERUN ON EVERY CHANGE
In the code
a source. It cannot be queried.
In the ticket system
a source. It cannot be queried.
In people’s heads
a source. It cannot be queried.
Requirement
the one object. Only this one runs.
Approved
approved on the record
Evidence
names the evidence it needs
Rerun
rerun on every change
Fig. 01 · Three sources become one object. None of the three on the left can be queried, and only one of them runs.
portal.reqproof.com/projects/jsonparser/requirements/SYS-REQ-012 Seeded product demo
Proof requirement view showing its formula, owning component, and evidence tabs.
One requirement, still in review. The sentence says what the parser must do. The record names the owner and the evidence that keeps it true.

Seeded demo, 3 August 2026, on branch proof-demo of our fork probelabs/jsonparser. Open findings here are demonstrations. The real register is buger/jsonparser master. What the seeding means →

02 Ownership

Give every responsibility an owner.

Every requirement, issue, and change belongs to a component that a team can answer for.

A component is the unit of ownership. It is the part of the system a team can point at: a parser, a scheduler, a billing path.

Every requirement, every known issue and every change record belongs to exactly one of them, and the graph records that ownership on the object. “Who is responsible for this behavior” has an answer you can open.

PROJECT COMPONENT parser COMPONENT scanner COMPONENT writer REQUIREMENTS ISSUES CHANGES one owner, never two
Project
parser, scanner, and writer
Parser
the open component
Requirements
owned by the parser
Issues
owned by the parser
Changes
owned by the parser
Scanner
a component of the same project
Writer
a component of the same project
Owner
one owner, never two
Fig. 02 · A component is a complete unit of intent. That is why Proof can be installed on one of them and still be useful.
portal.reqproof.com/projects/jsonparser/map Seeded product demo
Proof portal map for jsonparser in Architecture view, with one component node on the canvas.
jsonparser has one owner, the parser component. The counts on the node are links, not a second dashboard.
03 Dependency

See what depends on it being true.

Requirements are not a flat list. A software requirement rests on a system requirement, which rests on something a stakeholder asked for. A requirement also carries hazards: the outcomes that must not happen when it fails.

Proof does not record what calls what. It records what depends on what being true. Two functions that never meet in a stack trace can still rest on the same promise, and the graph knows it.

STK-REQ-005 STAKEHOLDER what the library promises the people who depend on it rests on blast radius SYS-REQ-009 SYSTEM Set must update the addressed JSON value without corrupting unrelated structure HAZARD what must not happen
STK-REQ-005
stakeholder. What the library promises the people who depend on it.
Rests on
up. What the requirement rests on.
Blast radius
down. What a change can reach.
SYS-REQ-009
system. Set must update the addressed JSON value without corrupting unrelated structure.
Hazard
what must not happen. A slot in the model, not a record from that project.
Fig. 03 · One pair from jsonparser. The hazard box is a slot in the model, not a record from that project. Up is what the requirement rests on. Down is what a change can reach.

Sources·specs/stakeholder/requirements/·specs/system/requirements/

The same pair, step by step → Follow the scope of one change →

portal.reqproof.com/projects/jsonparser/map?focus=SYS-REQ-012 Seeded product demo
Proof portal map in Focus view, rooted at one requirement and showing its neighbourhood.
The same requirement, both ways. Up is what it rests on. Down is what a change can reach.
04 Violation

Find where implementation breaks the model.

Proof checks the implementation against approved intent and turns confirmed violations into reproducible issues.

The check has something exact to check against. An approved requirement names the obligations that must hold for it. The annotated source claims to carry it. The evidence bound to each obligation runs against the current code, and the result is recorded against that revision of the graph.

When the evidence contradicts the approved sentence, Proof files a known issue on the owning component. It carries the requirement that broke, what the code did, and a command you can run yourself. While the bug is live that test asserts the broken output; it is flipped at the fix, so a regression trips it either way.

What the check compares

  1. 01the approved requirement, and the obligations it names
  2. 02the annotated code that claims to carry it
  3. 03the check, scenario, or demo bound to each obligation
  4. 04the run, against this revision of the code and the graph
  5. 05the verdict: verified, stale, violated, or not established

One violation Proof filed, on a public project

KI-3 was violated

KINDknown issue · fixed on master

VIOLATED INTENT

SYS-REQ-009 · approved, with the reviewer named in the file

WHAT THE REQUIREMENT PROMISED

Set must update the addressed JSON value without corrupting unrelated structure.

WHAT THE CODE DID

Set with an array-index path component under an object parent produced malformed JSON and returned it with a nil error.

OWNING COMPONENT

parser

REPRODUCER

set_spec_test.go · TestSetArrayIndexUnderObjectMalformedJSON_KI3

RUN IT YOURSELF

go test -v -run TestSetArrayIndexUnderObjectMalformedJSON_KI3 ./...

FIX

parser.go · Set

RECORD KEPT AFTER THE FIX

DEFECT-260726-MFPA

Real record Read off proof/known-issues/KI-3.yaml and proof/problem-reports/DEFECT-260726-MFPA.yaml, on the public jsonparser project.

The four known issues Proof filed against jsonparser master are all closed, KI-3 among them. That is why this one reads end to end in public: the finding, the reproducer, the fix and the evidence kept afterwards are files in the repository. The open findings in the portal captures on this page belong to the seeded showcase branch, and the badge on each capture says so.

The record a fix leaves behind → Every finding, with its reproducer →

05 Change

Make every change carry its evidence.

A commit says which text moved. The review says what you are accepting, and why you should believe it.

The same package is in the pull request and the portal. It is bound to this revision. A green check is readiness. Acceptance is a separate decision.

What the review answers

  1. 01 What am I accepting? The behavior that changes, and the approved intent it sits under.
  2. 02 What could it affect? What must stay true, and the widest reach of the change.
  3. 03 Why should I believe it works? What ran against this revision. A check, a scenario, an API exchange, a migration, or a narrated demo attached to the review.
  4. 04 What remains unresolved? What failed, what is stale, what is missing, and what still needs a person.

Three words this page uses precisely

  • known issue

    A problem that is not resolved yet. It carries the violated requirement, the affected component, and a reproducer that runs.

  • defect record

    The evidence-bearing history that exists after a fix is verified. It keeps the originating issue, the original reproducer, the fixing change, the root cause, and permanent regression evidence.

  • change record

    The shared model across features and fixes. Every kind of change uses it, so the history of a component reads as one sequence.

A passing reproducer proves the known instance is gone. The wider class stays open until broader evidence arrives, and Proof keeps the two apart.

Change and defect lineage in full →

06 Invalidation

Withdraw stale confidence automatically.

Software knowledge becomes dangerous when it silently goes stale. Proof is a self-invalidating graph: when code, a requirement or a document changes, it identifies the relationships and the evidence that may no longer be current.

Stale is not false. Proof does not declare the requirement wrong. It withdraws yesterday’s confidence, and it names the obligations that have to be reviewed or rerun before the claim stands again.

  • ✓VERIFIED

    The evidence ran against this version of the code and this version of the graph, and it passed.

  • ?EVIDENCE STALE

    Something it rests on moved. The result is not withdrawn as wrong, it is withdrawn as unproven, and it has to be earned again.

  • ✗VIOLATED

    The evidence ran and it failed. A known issue is attached, with the reproducer that shows it.

  • ·NOT ESTABLISHED

    The evidence this claim needs is absent. Missing evidence stays visible. It is not a pass.

  • ·NEEDS A DECISION

    A person still has to accept it. The evidence does not decide. No acceptance is recorded until they do.

Nobody has to remember which document went out of date. The graph carries the dependency, so it can raise its own hand. A waiver is an explicit exception a person accepted. Superseded means a newer approved requirement replaced this one.

What a change marks stale, on a real record →

07 MCP

Give humans and agents the same graph.

Everything on this page is a queryable object. Components, requirements, dependencies, hazards, known issues, change records, defect records, reproducers, verification obligations, evidence - the whole intent graph is readable over MCP, the protocol coding agents already speak.

Agents read the graph through MCP. Proposed changes and new evidence move through the customer’s repository and approval workflow.

There is no human edition and no machine edition. A person opens the portal; Claude Code, Codex, or any MCP client queries the same objects, with the same relationships and the same evidence attached.

A person opens

  • the requirement, and what it rests on
  • the hazards it carries
  • the code and documentation that implement it
  • the evidence that keeps it verified
  • every change that has touched it

An agent receives, over MCP

  • the requirements in scope for this edit
  • the blast radius of the edit
  • the obligations that must pass before the work is complete
  • the reproducer, when a known issue already exists
  • the same change history, as structured context

One question, answered from the graph

what does the parser promise about ParseBoolean?

SYS-REQ-012
“When ParseBoolean receives a valid raw boolean token, the parser shall return the corresponding Go bool value.”
Its place
implemented by parser.go · verified by five test files · documented in the README · owned by the parser component
Status
Review - a candidate, and the object says so
The same requirement, map and chip the captures above show, as an agent receives them. The film on this page shows it running live.

Recovered intent starts as a candidate. An authorized person or policy establishes which promises govern the change. Agree approval authority before work starts. Delegate lower-assurance work to agents within a defined scope; reserve higher-assurance intent and consequential exceptions for a person. Changes to these boundaries follow the previously approved policy. A passing check supplies evidence. It does not grant permission to merge or deploy.

How agents work against the graph → Connect your agent, step by step →

08 Custody

Keep the graph in your repository.

The graph is not a dashboard you rent. It lands in your repository as plain files, under your licence, versioned with the code it describes.

The evidence runs where you run it. Checks, demos and reproducers stay on your runners, with your secrets. The gate that blocks a bad merge is a step in your CI.

YOUR REPOSITORY requirements, as plain files UNDER YOUR LICENCE obligations and evidence bindings VERSIONED WITH THE CODE checks, demos, reproducers RUN ON YOUR RUNNERS the gate, in your CI configuration WITH YOUR SECRETS
Your repository
the tree on disk
Requirements
plain files, under your licence
Bindings
obligations and evidence bindings, versioned with the code
Checks
checks, demos, and reproducers. They run on your runners.
The gate
in your CI configuration, with your secrets
Fig. 04 · The same tree, on disk. Every object in the model above is a file you already own.

You keep them if we stop. Nothing in the graph needs us in the room to run.

09 Install

Install it on one component.

You do not install Proof across a company. You install it on one component that matters, with the engineers who own it.

Start with one change or component, then expand along its dependencies. Retained requirements, tests and decisions give the next engagement a starting point. Measure whether that reuse reduces setup and review effort.

What the first installation leaves behind

  • approved requirements
  • intent graph
  • hazard analysis
  • executable findings
  • change and defect evidence
  • agent access
  • CI gate
portal.reqproof.com/projects/jsonparser/checks Seeded product demo
Audit checks page of the Proof portal, with the checks that need attention sorted first.
This run does not pass. A gating check is marked Fail, so the change is not ready to accept.

Two ways to work with Proof

  • Software factory

    Delegate one change or a bounded backlog. Proof recovers the relevant intent, coordinates implementation with your coding agents, runs the required verification and retains the Change record. Your team sets the scope and authority. Scope a factory engagement →

  • Continuous audit

    Keep implementation with your engineers and agents. Proof works alongside them to maintain requirements, investigate hazards and produce evidence for their changes. Fixes stay with your team unless you ask us to include them. Explore the audit →

Both routes build the same Software Intent Graph. Neither requires replacing your issue tracker, Git or CI. See a sample scope and the artifacts you keep.

Request demo → Explore public Proof →

Inspect a change, not just a diagram.

A retry setting changes. The old check no longer supports the promise. Follow the actual passing, failing and corrected runs, with the gaps still visible.

Open the runnable example → · Compare workflows →