AgentFlow
Fig. 00 — A new way to ship chat

Draft an AIchat appin an afternoon.

AgentFlow is a visual workbench for businesses that want to ship production-grade AI chat — without hiring a frontend team, babysitting a backend, or rewriting their prompts in code.

See a live workflow
No cardNo SDKs to learnShip in a week
SCHEMATIC / WORKFLOW.001REV. 01INPUTuser prompt1AGENTclassify intentAGENTretrieve contextTOOLapi · mcp2OUTPUTchat reply, streamed35 NODES · 1 GRAPHDRAWN BYSCALESHEETYOU1:11 / 1
Fig. 01 — Process

From sketch to ship,
three steps.

Scale 1:1 / Not to time
Step 01/ 03

Draft

Drag input, agent, and tool nodes onto the canvas. Wire them like a flowchart. No SDK. No boilerplate.

Step 02/ 03

Tune

Edit prompts, swap models, plug in your APIs. Run the graph and watch every node light up in real time.

Step 03/ 03

Ship

One click publishes your workflow as a chat app — embeddable, hosted, or piped into Slack. Customers don't see the wires.

Fig. 02 — Specifications

Engineering rigor,
for the rest of us.

Built for business, not for builders

Your PM can ship. Your support lead can ship. The visual canvas is the source of truth — engineers stay free to do real engineering.

Production from day one

Streaming, tool calls, MCP servers, multi-turn memory, cost tracking — every workflow you draft is wired with the same primitives an engineering team would build by hand.

Yours, not ours

Bring your own model keys. Your prompts and your data stay yours. Export the workflow whenever you outgrow the canvas.

Fig. 03 — Begin

Lay the foundation
this afternoon.

Open the canvas