AI Delegation Orchestration: A Series on Durable Agent Work
A guide to the seven-part AI Delegation Orchestration series, covering durable agent work from conversation thresholds to high-stakes commitment boundaries.
Topic
agent orchestration
9 articles explore this thread.
Articles in this topic
Commitment Boundaries in High-Stakes Domains
Shows how delegation design changes when AI output may affect rights, money, legal duties, education, public records, or institutional accountability.
Capability Contracts for Agent Networks
Refocuses agent networks around replaceable capability contracts rather than human job titles or org-chart theater.
Long-Running Delegations: How Agents Can Work for Hours Without Losing the Plot
Defines checkpoints, self-remediation, interruption quality, budgets, rollback, and stop conditions for long-running AI delegations.
Control Loci, Not Human Managers: An Agent-Native Routing Model
Replaces human-org mimicry with explicit control loci for routing uncertainty in agent-native systems.
The Operator Cockpit Problem: Why More Traces Are Not Enough
Argues that operators need control routing across delegations, not only traces, summaries, dashboards, or activity feeds.
The Delegation Record: A Schema for Consequential AI Work
Defines the delegation record and shows why it is more operational than a transcript, summary, ticket, or pull request alone.
From Conversation to Delegation: Why AI Work Needs a Durable Record
Explains why conversation should remain the interface while delegation becomes the durable work primitive for consequential AI workflows.
From Agent Swarms to Agent Control Planes
This article argues that agent orchestration is evolving from hand-written workflows into a governed control-plane layer that routes across models, tools, memory, evaluators, policies, and execution environments.