
I built Kairos Flow because every serious project kept collapsing under prompt bloat, token limits, and zero traceability once you chained more than 3 agents. After a year of running this in production for marketing workflows and WordPress plugin generation, I'm convinced most "prompt engineering" failures are context orchestration failures, not model failures.
The core pattern is simple: one agent – one job, a shared JSON artifact standard for every input and output, and a context orchestrator that decides what each agent actually gets to see. That alone cut prompt complexity by around 80% in real pipelines while making debugging and audits bearable.
If you're experimenting with multi-agent prompt systems and are sick of god-prompts, take a look at github.com/JavierBaal/KairosFlow and tell me what you'd break, change, or steal for your own stack.
