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Entry 04PUBLIC HANDBOOK

Kai and working with AI agents

Distinguishes DCP Flow, Kai, Execution Agents, and humans; explains Human Gates, Execution Contracts, Handoffs, context, routing, and multi-agent work.

Source & authority

Public explanation

PUBLIC HANDBOOK
Based on
Human Handbook 04 — Kai and working with AI agents
Related normative sources
  • NORMATIVE SOURCEStandard · AI Project Context
  • NORMATIVE SOURCEStandard · Quality Gates
Authority
Public explanation — NON-NORMATIVE
Summary

Distinguishes DCP Flow, Kai, Execution Agents, and humans; explains Human Gates, Execution Contracts, Handoffs, context, routing, and multi-agent work.

DCP Flow separates methodology, engineering assistant, execution agents, and human authority. This allows teams to use AI without diluting responsibility or context.

Who does what

DCP Flow defines rules and artifacts. Kai interprets those rules within project context. Execution Agents perform bounded technical work. Humans retain material decisions and acceptance.

Key points
  • DCP Flow = methodology.
  • Kai = contextual interpretation and orchestration.
  • Execution Agent = bounded execution.
  • Human = authority and acceptance.

Context and coordination

Execution Contracts, Handoffs, Project Truth, Routing, and Manual Fallback reduce ambiguity. Multi-agent work also defines temporal ownership and integration order to avoid uncontrolled overlap.

Key points
  • ASK / PLAN / BUILD / REVIEW by intent.
  • Handoff with objective, scope, and expected evidence.
  • Routing to the right tool or agent.
  • Manual Fallback when direct action is unavailable.

Separate methodology, assistance, execution, and authority

DCP Flow defines how we work; Kai interprets and helps operate that methodology against Project Truth; an Execution Agent performs bounded technical work; the human retains intent, material constraints, and acceptance. This separation enables intensive AI use without turning technical capability into automatic authority.

Key points
  • DCP Flow = methodology.
  • Kai = contextual interpretation and governance.
  • Execution Agent = bounded execution.
  • Human = intent, limits, and acceptance.

Execution Contract, Handoff, and the repository as durable memory

An Execution Contract expresses outcome, scope, non-goals, architecture, Blueprint, Standards, Golden Flow, Quality Gates, evidence, and Human Gates at a depth proportional to risk. The Handoff transfers that context to the execution agent. Continuity does not depend on private shared memory: branches, commits, diffs, PRs, checks, artifacts, and versioned documentation form the durable contract.

Key points
  • Contract depth is proportional to risk.
  • Handoff does not equal authorization.
  • Git preserves reconstructable state.
  • Conversation is temporary; repository state is durable.

Context Model, Routing, and Manual Fallback

Kai combines DCP Knowledge, Project Knowledge, and Session Memory into an operating context, but Session Memory must never silently become Project Truth. Routing loads only knowledge compatible with the intent, project, and stack. When an action cannot be executed, Manual Fallback explains the limitation, provides concrete steps, and requests evidence before continuing. In multi-agent work, temporal ownership and explicit integration reduce functional conflict.

Key points
  • Session Memory ≠ Project Truth.
  • Load only relevant Standards / Blueprint / Skills.
  • Manual Fallback never simulates execution.
  • Git conflict ≠ functional conflict.
Contextual glossary+
Kai

Engineering assistant that interprets and applies DCP Flow within available context and authorization.

Execution Agent

Agent that executes bounded technical work under defined context, scope, and permissions.

Handoff

Explicit transfer of context, scope, state, and evidence between people or agents.

Execution Contract

Execution contract defining objective, scope, boundaries, evidence, and acceptance conditions.

Human Gate

Point where a material decision requires human acceptance or authorization.