Agent Studio is the no-code workspace where teams build and manage AI agents across voice and chat. Describe the job and auto-AGENT synthesizes the flow, grounds it in your knowledge, and wires your tools over MCP, then you test it against adversarial evals and publish to production. Ship in days, not quarters.
Agent Studio collapses the agent lifecycle into a single no-code surface. Non-engineers own it end to end; every change is versioned, governed, and reversible, so you ship with confidence and roll back in one click.
Describe the job, or point at existing standard operating procedures. auto-AGENT reasons over them and drafts the journey, prompts, and knowledge grounding for you.
Run the CQB scenario suite, generated adversarial cases, and inspect every decision with agent traces. The agent fixes regressions; humans approve.
Promote to staging or production with versioning, A/B tests, and instant rollback. Overlay live analytics on the same canvas you built.
Each capability is a panel in the same workspace, design the flow, ground the knowledge, wire the tools, watch it think, and grade it. No context-switching, no engineering ticket.
Generate a starting flow from intent or your SOPs, then shape it by hand, drag-drop nodes, each with a goal, the state it needs, and a recovery policy. LLM reasoning plans the path; deterministic execution runs it. Version every change, A/B test variants, overlay analytics, and roll back instantly.
Drop docs, URLs, call logs, and tables into collections. Studio auto-chunks, embeds, and indexes them for RAG, then lets you test retrieval against real questions before it ever ships. Zero retraining, live cache invalidation, so the agent never answers from stale ground truth.
Full observability for every run. Real-time traces capture each reasoning step, tool call, and response, with timings, so you can see exactly why the agent did what it did, spot a slow hop, and refine the flow. Then push the change back through evals before it goes live.
Every build is graded against the CQB scenario suite, generated adversarial cases scoring intent accuracy, latency, hallucination rate, and policy adherence. The agent fixes its own regressions and saves them back, but nothing ships without a human-approve gate.
Agents reach external systems and live knowledge over the Model Context Protocol, read a record, post an update, fetch a price, trigger a workflow. Wire a tool once in the studio and any flow can call it. 170+ connectors, every action audited and reversible.
Synthesis from intent and a no-code canvas collapse build time, teams ship in days, not quarters, without filing an engineering ticket.
Ops, support, and product build and manage agents themselves, versioned, governed, and reversible, so ownership stays where the expertise is.
Twelve adversarial eval scenarios per build, plus agent traces on every run, quality is proven before a single live interaction.
Non-engineers synthesize the flow, prove it against adversarial evals, and publish across voice and chat, every change versioned, governed, and reversible.
No. Agent Studio is a no-code workspace built for teams, not just engineers. You describe the job, or attach existing SOPs, and auto-AGENT synthesizes the flow, drafts the prompts, grounds answers in your knowledge, and wires tools over MCP. You shape it on a visual canvas and publish. A headless API is there if your engineers want it, but it's never required.
auto-AGENT reasons over your brief or SOPs and synthesizes the conversation graph, opening, intake, decision, action, clean endings, each node with a goal, the state it needs, and a recovery policy. LLM reasoning plans the journey; deterministic execution runs it. You edit anything; you never start from a blank canvas.
Every build runs against the CQB scenario suite, 12 generated adversarial cases scoring intent accuracy, latency, hallucination rate, and policy adherence, with a ~2.0s average simulated reply. Agent traces show every reasoning step, tool call, and response so you can debug fast. The agent fixes regressions and saves them back, gated by human approval.
Yes. Build once and deploy across voice and chat. Voice runs on 800+ neural voices across 155+ locales with sub-500ms inference; chat shares the same flow, knowledge, and tools. Publish to staging or production, run A/B tests, overlay live analytics, and roll back in one click.
Everything is versioned and reversible. Builds promote through staging to production with A/B tests and instant rollback, and no change ships without a human-approve gate. Actions over MCP run inside your policies, fully audited, so non-engineers can own agents safely.
In 30 minutes we'll build it in the studio, test it against evals, and ship it across voice and chat, on your systems, in your languages.
Go from a plain-language brief to a production voice or chat agent, tools, guardrails and tests included.
