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Operant AI

Operant AI is an autonomous operations platform that turns simple instructions into fully functioning systems.

Core trick

Turns a plain-English task into a structured workflow, then monitors run outcomes and rewrites failing steps automatically.

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Description

Operant AI is an autonomous operations platform that turns simple instructions into fully functioning systems. Instead of manually building workflows or stitching together tools, users describe what they want to achieve, and Operant AI designs, executes, and manages the entire process. It connects to tools like Notion, Slack, and email services, transforming high-level intent into structured workflows that run in real time. What sets Operant AI apart is its self-improving execution loop. The system does more than just running tasks it monitors outcomes, detects failures, and automatically adjusts workflows to improve performance over time. This creates a shift from static automation to living systems that adapt as conditions change. Whether it’s onboarding users, managing leads, or coordinating internal operations, Operant AI acts as a continuous execution layer, reducing manual effort and enabling teams to focus on higher-level decisions rather than repetitive processes.
Esimuda/OperantAI★ 00 forksTypeScriptMITCreated Apr 23, 2026 · last push Apr 26, 2026

README excerpt

# Operant AI

An AI-powered workflow generator. Describe any business process in plain English and Operant AI instantly generates a structured automation workflow.

## Quick Start

### 1. Install dependencies

```bash
npm install
```

### 2. Configure your API key

Open `.env.local` and replace the placeholder with your real key:

```env
ANTHROPIC_API_KEY=sk-ant-your-key-here
```

Get a key at [console.anthropic.com](https://console.anthropic.com/).

### 3. Run the development server

```bash
npm run dev
```

Open [http://localhost:3000](http://localhost:3000).

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## How It Works

1. Type a business task in the chat panel (e.g. *"When a new Stripe payment arrives, email the customer and notify Slack"*)
2. Operant AI sends your message to Claude and parses the structured workflow response
3. The right panel shows your workflow as numbered step cards
4. Toggle **Code** to see the raw JSON · **Dashboard** for a stats overview

---

## Project Structure

```
app/
  page.tsx              Main layout and state
  layout.tsx            Root layout (Inter font, metadata)
  globals.css           Global styles + animations
  api/chat/route.ts     Claude API handler

components/
  TopBar.tsx            Header with logo and view toggles
  ChatPanel.tsx         Chat interface (messages + input)
  WorkflowPanel.tsx     Workflow / Code / Dashboard views
  StepCard.tsx          Individual step display card

lib/
  types.ts              TypeScript interfaces
```

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## Build for Productio

Team