Structured packets
Tasks, results, decisions, pauses, references, and validation records share a canonical lifecycle.
AI collaboration with evidence, control, and accountability
Conductor turns multiple AI systems into one governed workflow.
APCP Conductor coordinates humans, AI collaborators, and execution agents through structured packets, explicit authority, validation snapshots, and auditable handoffs.
- Evidence over testimony
- Positive authorization
- Human authority preserved
HumanIntent & authority
ConductorReasoning, routing & validation
AI CollaboratorsIndependent analysis
DCAObservation & execution
PASSWARNFAILCRITICAL
Why APCP exists
AI collaboration fails when context, authority, and evidence are informal.
APCP replaces ad hoc prompting with a structured protocol that preserves intent, records decisions, separates reasoning from execution, and makes every important transition reviewable.
Independent reasoning
Multiple AI collaborators can analyze the same problem without collapsing into one opaque answer.
Controlled execution
The DCA acts only as hands, eyes, and ears. It executes authorized instructions and returns evidence.
System architecture
Clear responsibility boundaries.
Human Conductor
Defines intent, grants authority, sets cost ceilings, approves irreversible actions, and retains final control.
APCP Conductor
Coordinates reasoning, packet lifecycle, scope, validation, audit, and collaboration between specialized systems.
AI Collaborators
Provide distinct analyses, critiques, alternatives, and validation without silently merging incompatible assumptions.
Development Capability Agent
Observes and acts within explicit instructions. It has no independent logic gate and no standing authority.
Canonical workflow
From intent to acceptance without losing the reasoning.
- IntentDefine the outcome and constraints.
- DesignChoose the smallest sufficient approach.
- ImplementationCreate the artifact or change.
- ExecutionRun only within granted authority.
- ObservationCapture evidence from the real system.
- ValidationCompare expected and actual results.
- CorrectionRepair verified failures.
- OptimizationImprove after correctness is established.
- AcceptanceHuman or delegated acceptance closes the work.
- StopDo not continue after the objective is satisfied.
Security model
No approval means no execution.
APCP uses positive authorization: every approval is bound to the exact action, target, version, and hash. Communication loss, ambiguity, timeout, or software failure resolves to a non-executing state.
Exact-action approvalA different action requires a different approval.
Fail closedUnverified or expired authorization cannot execute.
Immutable auditDecisions, evidence, and outcomes remain traceable.
Separated authorityExecution capability does not imply decision authority.
Development roadmap
Building the control plane in deliberate stages.
Packet protocol and local Conductor
Canonical packet types, review queues, manifests, validation snapshots, import/export, and audit foundations.
DCA and mobile approvals
Execution interface, observation tooling, Flutter approval client, push delivery, and explicit human authorization.
Distributed collaboration
Remote execution boundaries, secure transport, cross-model handoffs, and production deployment workflows.
APCP Conductor
Structured collaboration for systems that must be trusted.
The project is under active development. Join the update list or request a technical discussion.