Documentation-first AI meta-framework

DACE turns documentation into the operating system for AI-assisted delivery.

Documentation-driven AI-assisted Code Evolution: a metaplatform where specs, code, and AI agents co-evolve under human oversight. DACE makes documentation executable and keeps humans in the loop while agents build, test, and ship.

4.8 days from documentation to a deployable slice on average
VS Code GitHub Jira Slack CI/CD
Live artifact engine
Spec synthesis
Clarity coverage
Automation reach
Human oversight
Artifact pack Genesis Blueprint
Live consensus
Vision

Documentation becomes the source code for AI-assisted engineering.

Documentation as code

Natural language needs are parsed into specs, tests, and plans. Docs stay executable and versioned alongside code.

1 source for intent & implementation

Human-in-the-loop intelligence

Expert checkpoints are built into every step. Humans correct, AI executes, and everything stays explainable.

Zero black box decisions

Meta-automation

DACE generates the tools, agents, and workflows you need. Ship products and the AI that builds the next ones.

3-5x faster delivery cycles
Lifecycle

A traceable path from intent to evolving systems.

Core steps
Documentation-led

Agent mesh + expert review

Specialized agents (analysis, planning, code, QA) coordinate through shared artifacts while humans approve critical gates.

Live oversight baked in

Traceability & transparency

Every requirement, decision, and change links back to documentation. Exportable receipts keep stakeholders and auditors aligned.

Full chain of custody
Meta-creation

Tools that create tools — from agents to governed workflows.

Generate agents

DACE spins up role-specific agents (Analysis, Code, QA) with project context baked in.

Context-aware by design

Assemble workflows

Compose pipelines that translate documentation into specs, code, and approvals automatically.

Docs → Spec → Code → Evidence

Govern & audit

Every artifact stays traceable. Export receipts for auditors or leadership in one step.

Audit-ready exports
Roadmap

We’re three months in and building the agentic platform layer.

Phase-led delivery Operator-grade
Future plans

Choose how DACE will roll out as we mature the platform.

Data stays in your cloud PII-aware prompts Exportable audit trail
Pilot (alpha version)

Documentation-to-spec

Turn a single initiative into formal specs, tests, and an executable plan.

  • Need intake + FR/NFR synthesis
  • Test cases and dev plan
  • Review with a DACE architect
In build

Platform

Planned: continuous co-delivery with agent mesh, expert review, and evolution loops.

  • Unlimited artifacts and sync
  • Agent mesh orchestration
  • Compliance-grade traceability
Vision

Metaplat Lab

Future: custom agents, workflows, and governance tailored to your org.

  • Domain-tuned AI agents
  • Enterprise controls & review
  • Co-built evolution roadmap
FAQ

Answering the usual objections upfront.

Do humans stay in control? Yes. Human approvals gate critical stages; AI suggests, humans approve.
Can I self-host? Roadmap item. Today we host the engine; outputs can live in your repos/cloud. We’ll offer VPC/on-prem once the operator suite matures.
Who owns the IP? You do. All artifacts, agents, and outputs remain your property with full traceability.