Anointed Automate
Visual workflow automation with bounded AI agents
Original build, AI Workflow Automation and Agent Operations (public demo)
A drag-and-drop workflow builder where AI agents pick their own tools, and a policy engine decides what needs a human.
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What it is
Anointed Automate pairs a visual workflow canvas with an AI agent runtime. Workflows are executed by a real interpreter that walks the node graph, resolves variables, branches on rules, retries failures and pauses at human approval steps; agents run a bounded OpenAI tool-calling loop against a whitelist of 34 tools whose arguments are validated with Zod before execution. Every node run, tool call, token count and approval decision is recorded and inspectable in run history, with charts on an analytics screen. The OpenAI integration is real and server-side only; transactional email runs through Resend when configured; there is no login, no server database (state is held in the browser via IndexedDB) and no payment processing, because the business integrations are deliberately simulated against local demo data so the public demo never touches a live system.
Worth knowing
The policy engine, not the model, decides what runs: high-risk tools always require human approval at every autonomy level, and a paused approval resumes after a full page reload by applying the stored decision instead of re-running the node and raising a second request.
What is inside
- Visual workflow builder on a React Flow canvas with 35 node types across triggers, data, logic, AI, agents, actions, human steps and output, plus undo/redo and workflow JSON import (file upload or paste) and export
- A client-side execution engine that actually interprets the graph: condition and router branching, {{variable}} templating against trigger and upstream node output, per-node retry counts, continue-on-error and a hard cap of 150 node executions per run
- Bounded AI agent loop using OpenAI tool calling against a whitelist of 34 tools validated with Zod before execution, with a per-task step limit and a coordinator agent that can delegate to specialist agents up to four times per task
- A policy engine that decides allow or approve independently of the model, with read-only tools running automatically and high-risk tools always requiring approval regardless of autonomy level
- Human-in-the-loop approvals that pause a run, persist it, and resume from the stored decision after a page reload without re-running the paused node or raising a duplicate approval
- Four rate-limited server-side AI routes (workflow steps, agent steps, natural language workflow generation, error explanation) plus a status route that returns only whether a key is configured, with the OpenAI key never leaving the server
- Lead capture gate with Zod email validation, per-IP rate limiting, optional webhook forwarding and optional transactional email via Resend, all best effort so a delivery problem never blocks a visitor
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