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Missions (Factory.ai)

Source
factory.ai
Author
Factory
Date

Context

Factory's Missions system divides a large software project into bounded jobs and gives checking the results a separate role. Its architecture description explains that a planning first defines testable requirements, then assigns implementation work to agents with fresh conversation contexts.

Shared files retain requirements, progress and discoveries so each worker can read the material relevant to its job. Separate validators inspect the work and exercise the application against the requirements. When they find a gap, the planner creates a repair task and validation repeats. The design makes completion depend on explicit checks rather than solely on the implementing agent's declaration that it has finished.

Terms in this piece · Glossary
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
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