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The agent that builds itself from a sentence

Describe what you want in plain English. SentinelMesh designs the flowchart — AI steps, branches, app actions — checks that every step is wired correctly, and opens it ready to edit and test.

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How it works

From sentence to running agent

Four steps, and only the first one takes any typing.

1

Describe it

Type one sentence: what the agent should do, and any rule it should follow.

2

It gets designed

An AI planner turns your sentence into a flowchart of steps and connections, then validates it before saving.

3

Test it

Send a message and watch each step run with its real output. One successful test moves the agent from draft to active.

4

Refine any time

Edit any step on the flowchart, pin a model, add a condition, or connect an app, then test again.

In practice

One sentence in. A working agent out.

Six example descriptions and the kind of flowchart each one becomes.

“Reply to refund emails — check policy first, escalate anything over $200.”
FlowCheck policy → over $200? → escalate or reply
UsesAI steps · condition
“Summarize each support message and post the summary to Slack.”
FlowSummarize → post to Slack
UsesAI step · Slack
“Review a code snippet for security issues and give specific, actionable fixes.”
FlowReview → final answer
UsesAI step
“Turn a bug report into a GitHub issue with the severity in the title.”
FlowClassify severity → write issue → open on GitHub
UsesAI steps · GitHub
“Answer questions about our refund policy, and say 'I don't know' instead of guessing.”
FlowAnswer with guardrails → final answer
UsesAI step
“Turn a call transcript into a 5-bullet action list and email it to me.”
FlowExtract actions → send email
UsesAI step · Email
No fake success

What actually happens when you press enter

Your sentence goes to an AI planner that returns a flowchart: the steps, their settings and how they connect. Nothing about this is decorative.

  • The plan is validated before it is saved: loops, unknown apps and empty prompts are caught, and the AI gets one chance to fix them
  • If no AI provider is available you still get a simple starting flow, clearly labelled as built offline, never a pretend-AI result
  • New agents start as drafts and only go active after one message succeeds
  • Every test shows each step's real output, timing and cost, and says plainly when an answer was only a simulated placeholder
planner → flowchart
→ name: "Refund Assistant"
→ steps: 5 (1 condition)
→ validated: yes
→ status: draft
A faster start, fully editable

Want to change it? It’s a flowchart.

The prompt agent gets you a working flowchart in one step. Open it to edit any step, add a condition, wire in an app by hand, or test it message by message.

See the flowchart studio
FAQ

Common questions

What if the generated agent isn't quite right? +
Which model does it pick? +
Can I build or change the flow by hand? +
What happens if generation fails? +

Describe your first agent

Free to start. No credit card required.

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