How it works
From a sentence to a finished workflow
habit agents run a closed loop: plan, reason, retrieve, act, and learn — repeating until the job is done.
- 01
Plan
You describe an outcome in plain language. The agent decomposes it into an executable plan with clear sub-tasks and success criteria.
- 02
Reason across LLMs
Each sub-task is routed to the best-fit model. The agent reasons over options and chooses the next action based on context.
- 03
Retrieve grounded context
It pulls relevant facts from your vector database and connected knowledge bases so decisions are grounded in your data.
- 04
Act on your APIs
The agent chains secure calls to ERP, CRM, and internal services to actually execute the work — with guardrails in place.
- 05
Learn & improve
Every run is evaluated and logged. The agent forms reliable habits, getting faster and more accurate over time.
Join the 2026 cohort
Access is waitlist-only. Request a seat and we'll onboard your team in the next wave.