I built Xpectrum to make AI agent workflows easier to build and run.

Hey Product Hunt! 👋

I’m building Xpectrum AI, and I’ve just launched it on Product Hunt.

While experimenting with AI agents, I kept running into the same problem: once an agent needs to use tools, retrieve information, follow multiple steps, or wait for human approval, things quickly turn into a mix of frameworks, APIs, integrations, and custom code.

So I started building Xpectrum around that problem.

What’s inside:

• 🤖 AI Agents — build agents that can reason about tasks and take actions
• 📚 Knowledge Base — connect documents and use them as context through retrieval
• 🔌 Tool Integrations — let agents work with APIs and external tools
• 🔄 Workflow Builder — create multi-step agent workflows
• 👤 Human Approval — pause workflows when a person needs to review an action
• 🔍 Observability — understand what an agent did and where a workflow stopped

The idea is pretty simple:

Agent + Knowledge + Tools + Workflow + Human Approval

Instead of having to build and connect every part separately.

I’m still actively working on Xpectrum, and there are definitely things that need improvement.

I’d love to hear from other builders:

What’s the biggest pain point you’ve faced when building AI agent workflows?

If you’re using n8n, Zapier, CrewAI, LangChain, or custom code, what do you wish was easier?

Would really appreciate your feedback and thoughts from the Product Hunt community. 🙌