Knowledge
Workspace policy, brand rules, architecture, client constraints, and product-specific context.
AI DELIVERY HARNESS
A managed operating system for AI-native work.
The harness turns client and founder intent into products, marketing systems, ads, QA evidence, releases, and decisions through specialized execution contexts.
- ~100
- execution contexts across operations
- 5 layers
- knowledge, skills, agents, gates, runtime
- GCP
- managed production environment
- Readback
- required before work is complete
Reusable capability without mixing client context.
Shared operating knowledge compounds across engagements while client data, credentials, decisions, and infrastructure remain isolated.
Skills
Repeatable procedures for research, engineering, deployment, ads, reporting, and operational recovery.
Agents
Specialized execution contexts organized around system boundaries rather than generic chat sessions.
Gates
Build, security, content, visual, and human approval checks before changes are accepted.
Cloud runtime
GCP-hosted APIs, managed jobs, storage, models, monitoring, and service-account-controlled access.
Feedback
Production metrics, campaign results, client input, failures, and decisions feed the next iteration.
A named path from input to verified output.
The workflow is reusable because each stage has a purpose, owner, and observable result.
Frame
Turn founder or client intent into explicit scope, constraints, and acceptance evidence.
Dispatch
Route work to the agent context that owns the relevant system boundary.
Verify
Run deterministic checks, reviews, and real browser or runtime readback.
Compound
Capture reusable rules and keep client-specific knowledge in the correct environment.
Useful autonomy is bounded autonomy.
Context has an owner
Global policy, reusable skills, client facts, and task evidence live in different layers.
Agents prepare; owners approve
Production, claims, spend, and irreversible actions remain explicitly governed.
Verification is part of delivery
A generated output is incomplete until the real route, runtime, or platform confirms it.