Pain: unreliable, unscalable AI agents — Solution: a prescriptive, production-ready harness engineering playbook

Pain: unreliable, unscalable AI agents — Solution: a prescriptive, production-ready harness engineering playbook targets a $18.0B = 9M developers x $2K/year typical spend on AI tooling, training and developer runtime integrations total addressable market with medium saturation and a year-over-year growth rate of 35%+ for AI developer tooling and enterprise LLM spend.

Key trends driving demand: Agentization of applications -- shifting value from single-call LLMs to persistent agents with memory and tools expands demand for harness patterns; Maturation of vector DBs & tool orchestration -- easier integrations make production harnesses feasible now; Enterprise governance & safety requirements -- increased need for permissioning, auditing, and observability in production agents; Vendor specialization (Claude, GPT, etc.) -- platform differences push demand for platform-specific best practices.