Draft'n run

Draft'n Run is a platform for building, testing, and deploying AI agents and workflow automations, designed to reduce the iteration cycle from idea to running production agent from days to hours. The builder environment provides both visual no-code configuration and code-based editing, allowing developers and operations teams to work at their preferred level of abstraction within the same project. Agent drafting defines the agent's objective, available tools, decision logic, and output format. Testing infrastructure runs the agent against representative inputs and simulated tool responses before production exposure, enabling behavior validation without risk of unintended actions on live systems.

Deployment handles execution infrastructure, scheduling, and trigger configuration, teams specify when and how agents run rather than managing execution infrastructure directly. Version management tracks configuration changes with the ability to roll back to previous working states when updates introduce unexpected behavior. The monitoring dashboard tracks agent runs, outcomes, error rates, and tool call patterns, providing the operational visibility needed to maintain deployed agents over time. Integration connectors cover common business applications, CRMs, project management tools, communication platforms, databases, enabling agents to read from and act on the systems where business data lives.

Draft'n Run is strongest for technically comfortable operations teams who need to move faster than traditional engineering-led automation development allows, building and iterating on agent workflows independently without a development backlog dependency.