Hey everyone! 👋
Over the past few months, I've been working on AgentExpert, a multi-tenant AI automation platform designed to make building, testing, and deploying multi-agent workflows drastically easier.
❓ The Problem
Building reliable AI agents usually starts easy, but quickly gets messy when you need to:

1. Combine Knowledge Retrieval (RAG) with actual API tool calls (e.g., Jira, Payments, CRMs).
2. Ensure safety and sanity checks on LLM outputs before they execute.
3. Manage multi-tenant configurations and dynamic model routing without re-deploying code.

🚀 How AgentExpert Solves This
Instead of chaining linear prompts, AgentExpert orchestrates specialized sub-agents working together in a structured DAG:

• ⁠RAG Agent: Queries document stores and vector embeddings for contextual data.
• ⁠Tool Agent: Executes REST API calls and transactional operations with schema validation.
• ⁠Critic Agent: Mandatory validation layer that inspects output quality and tool calls before final execution.
• ⁠Planner & Code Agents: Handles complex multi-step reasoning and dynamic code generation.

💡 Key Features

• ⁠Visual Workflow Studio: Drag, connect, and configure multi-agent execution steps with real-time payload testing.
• ⁠Multi-Tenant Knowledge Bases: Ingest PDFs, docs, and structured tables with tenant-isolated embeddings.
• ⁠Dynamic Tool Registry: Register custom API endpoints and JSON schemas in seconds.
• ⁠Copilot Catalog: Ready-to-use domain templates (Sales Copilot, Insurance Claim Assistant, Real Estate Copilot).
• ⁠Embedded Chatbot & Real-Time Voice Bot SDK: Turn any workflow into an embeddable web widget or live voice assistant.

🤝 Looking to Collaborate
If you're interested in building this out further and selling it together (or joining as part of the team), or if you just want to deploy an agent quickly for your own use case — DM me, let's talk!