Harness Design Patternsv1.1.0

An AI agent needs to execute a plan-implement-verify pipeline across multiple turns. Use Handoff documents to pass context between stages and Compaction extraction to preserve knowledge before memory compression.

Deciding whether to use a coordinator agent, forked sub-agents, or a swarm for parallel tasks. The three delegation patterns guide selection based on task dependency and communication overhead.

Multiple hooks cause interference and performance issues. Use Component-Scoped Hooks to restrict hooks to specific tasks and Hook Runtime Profiles to adjust hook intensity per environment.

Agent forgets important context after memory compaction or between sessions. Apply Handoff documents for explicit context handover and Compaction extraction to retrieve critical info before compression.

Simple tasks incur high overhead from complex agent loops. Use Adaptive Complexity to triage tasks and automatically select minimal execution mode, reducing latency and cost.

Offer harness architecture design consulting to enterprises building multi-agent systems. Provide expertise in pattern selection and implementation guidance.

Develop training programs on harness design patterns for AI engineers. Sell access to course materials, workshops, and certification exams.

Package harness design patterns into a SaaS tool that analyzes agent architectures and recommends patterns. Charge subscription for automated design audits.