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.

  1. 01

    Plan

    You describe an outcome in plain language. The agent decomposes it into an executable plan with clear sub-tasks and success criteria.

  2. 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.

  3. 03

    Retrieve grounded context

    It pulls relevant facts from your vector database and connected knowledge bases so decisions are grounded in your data.

  4. 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.

  5. 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.