Describe your AI agent. We build it.

No. AgentNEO is built specifically for people who don't code. You write in plain English — the same way you'd describe the agent to a teammate — and AgentNEO handles every technical decision underneath: choosing tools, mapping fields, setting up webhooks and schedules, writing the model prompt, and wiring authentication. If you ever want to go deeper you can edit any part of the generated agent visually, and for the truly technical there's a code panel for each step. But the default path requires zero engineering skill. Most people publish their first agent inside five minutes of signing up, and they've never touched a line of code, a JSON schema, or a YAML file.

AgentNEO reads your description, identifies the real-world apps involved, and matches them to native integrations in Arahi's connector library. If you say "post to Slack," it picks Slack. If you say "our CRM," it asks which one or infers from your connected workspace. It also chooses the right action inside each app — not just "Slack" but "send message to channel" with the right parameters. For triggers it decides whether the agent should be scheduled, event-driven, or on-demand based on your wording. When a prompt is ambiguous it asks one clarifying question instead of guessing. Every choice is visible in the generated agent, so you can swap any tool with two clicks if you'd rather use a different one.

Yes — fully. AgentNEO's output isn't a sealed black box. It's a real agent inside Arahi's visual builder, with every step, tool, prompt, schedule, and memory setting visible and editable. You can rename steps, swap tools, adjust the model, change the tone, add an approval gate, branch on conditions, or drop to a code node for a custom transformation. If you change your mind about the agent's purpose entirely, you can re-prompt AgentNEO and regenerate — or keep the existing graph and tweak it in place. Most teams use the generated agent as a 90%-there first draft and spend a few minutes refining it before shipping.

AgentNEO asks rather than guesses. If your description could mean multiple things — "post the update" could go to Slack, Teams, email, or Notion — it asks one short clarifying question before generating the agent. If you reference "our CRM" and you have both HubSpot and Salesforce connected, it confirms which one. If the schedule is fuzzy ("regularly") it asks for a cadence. You can also re-prompt at any time to refine: add a sentence, adjust the trigger, change the output destination, and AgentNEO regenerates the relevant parts without losing your earlier customizations. The goal is a short, conversational back-and-forth — not a 20-field setup wizard.

The visual agent builder is the canvas where every Arahi agent ultimately lives — nodes, edges, triggers, tools, memory, conditions, and code steps, all manually configurable. It's powerful and precise. AgentNEO is a layer on top of that canvas: a natural-language entry point that writes the first draft of the graph for you. You describe the agent, AgentNEO generates the nodes and wiring, and the result is a normal agent inside the visual builder — fully editable, fully inspectable. In practice most teams start in AgentNEO to get from zero to running, then hop into the visual builder to fine-tune. They're complementary surfaces, not alternatives: AgentNEO for speed, the visual builder for control.