From live conversation to structured process model — in the meeting, not a week later. The same artifact humans read and agents execute.
Three steps from conversation to execution — with guardrails at every level.
Live audio from any browser tab — or paste a transcript. The agent listens, distills, and proposes structured changes. No screen recording, no manual reconstruction.
Every process node carries agent briefs, validation rules, escalation conditions, and output definitions. Agents don't guess — they execute against enterprise-grade guardrails.
Any AI assistant — Copilot, Claude, Codex — connects via MCP or REST API to read processes, propose changes, and brief agents. One protocol, every platform.
Not just capture. Every failure feeds back into the process model — so the next agent does better.
Audio or transcript flows through the LLM bridge. DPL actions appear as ghost-diffs on the canvas — always human-approved before commit.
Every task node carries its own agent brief, input/output schema, escalation conditions, and output quality definitions. The agent knows what done looks like.
Every agent execution logs a feedback event. Cross-task analysis traces downstream failures to upstream gaps. Suggested improvements flow back into the process model. Your organisation learns.
Bring your own LLM for free, or let the Talk To Flow back-end do the thinking. Add MCP & API integration when you're ready to put agents to work.
Agent usage beyond included budgets may incur additional costs.
Talk to usStart free. One process, three diagrams, zero pressure.
Sign up free