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// PLATFORM · OVERVIEW

Software delivery, converted into a governed AI factory.

EngynOS turns business intent into structured goals, missions, agent work, evidence, approvals, and outcomes — across the full delivery lifecycle, with humans in the loop where it matters.

99.98%
Uptime
14.2ms
Latency
128/128
Nodes
platform · live fig_software
// THE GAP

Why AI coding tools alone don't deliver software.

Disconnected tools

Teams stitch together IDE agents, tickets, repos, docs, chats, tests, and incidents by hand.

Local-only autonomy

AI coding tools work inside a file, not across the lifecycle — no governance, no evidence, no release decision.

Fragmented context

Decisions live in DMs. Requirements in PDFs. Tests in YAML. Production in dashboards. Agents start blind.

Invisible delivery

Leadership reads weekly slides instead of seeing real-time mission state, cost, and risk.

// THE OPERATING LAYER

One factory. Every stage governed.

Centralise the lifecycle

Goals, missions, agents, context, QA, releases, and reporting live on one control plane.

Human-in-the-loop gates

Approvals at plan, scope change, merge, QA evidence, and release. Breakglass paths logged separately.

Replayable audit trail

Every prompt, retrieval, tool call, and decision hash-pinned in a tamper-evident ledger.

FRAME · 04
// THE OPERATING LOOP

How one mission flows through the factory.

  1. 01 // INTENT CAPTURED

    Intent captured

    Operator writes business intent. EngynOS parses and queues planning agents.

  2. 02 // GOAL CREATED

    Goal created

    A goal is opened with owner, scope, risk, acceptance criteria, and policy bindings.

  3. 03 // MISSION PLANNED

    Mission planned

    Planner agents decompose the goal into missions with dependencies and estimates.

  4. 04 // AGENTS ASSIGNED

    Agents assigned

    Specialised agents — requirements, coding, QA, research, ops — receive scoped missions.

  5. 05 // CONTEXT LOADED

    Context loaded

    EngynGrid hydrates each agent with code, docs, prior decisions, and customer signal.

  6. 06 // WORK EXECUTED

    Work executed

    Agents synthesise PRDs, code, tests, and configurations under tool allow-lists.

  7. 07 // QA EVIDENCE

    QA evidence

    EngynQA generates test matrices, sandbox runs, and a signed evidence pack.

  8. 08 // RELEASE APPROVED

    Release approved

    Operator reviews evidence, hardware-token gates the release, mission attests in the ledger.

  9. 09 // OUTCOMES MEASURED

    Outcomes measured

    EngynInsights computes cost-per-task, velocity, risk surface, and ROI.

  10. 10 // LESSONS STORED

    Lessons stored

    EngynGrid absorbs production reality so the next mission inherits it automatically.

  11. CH · 11 · CONTINUE
  12. CH · 12 · CONTINUE
// CAPABILITY GRID

Eight surfaces covering every lifecycle stage.

Requirements

Notes → PRDs with traceability.

DETAIL

Planning

Backlog, estimates, dependencies.

DETAIL

AI development

Coding agents with scope and review.

DETAIL

QA & test

BDD, Playwright, regression, evidence.

DETAIL

Release readiness

Evidence-backed go/no-go decisions.

DETAIL

Observability

Prod signal → next mission.

DETAIL

Insights

Cost, velocity, risk, ROI.

DETAIL

Governance

Approvals, audit, policies.

DETAIL
// WHO IT HELPS

Built for everyone who has to answer for delivery.

Founder

Build more products without losing control.

CTO

Govern AI-assisted delivery across teams and repos.

Product owner

Convert intent into evidence-backed delivery.

Delivery leader

Run missions, dependencies, and risks without status meetings.

QA leader

Stitch quality into every mission, not the end of every release.

Developer

Work with agents without surrendering review discipline.

Enterprise leader

Adopt AI delivery with governance, audit, and standardisation.

// RELATED

Keep reading.

// INITIATE

Start a Software Factory pilot.

Connect one repository, one ticketing tool, and one mission. See evidence in days, not quarters.