Introducing Jigsaw.ai: Build Agentic AI Without Code

Agentic AI isn’t just for research labs anymore. It’s for anyone who wants autonomous systems that act, not just assist.

Today, we’re excited to introduce:

Jigsaw.ai

A no-code platform to spin up, chain, and scale agentic AI systems—in minutes.

From Copilots to Agents

Today’s tools stop at suggestion:

• AI writes a summary. You still email it.

• It drafts a test. You still run it.

• It shows a deal. You still analyse it.

Jigsaw flips that model.It gives you agents that:

• Operate autonomously

• Take initiative

• Run on schedules or events

• Plug into your existing tools

You don’t build prompts.You build AI operators.

First Use Case: Developer Agent for Jira + Cursor

Let’s say your team works in Jira and uses Cursor for AI-assisted coding.

With Jigsaw, you can:

1. Spin up an agent that reads user stories from Jira

2. Generate context-rich prompts dynamically

3. Send them directly to Cursor for implementation

4. Trigger tests, create PRs, and report back to Jira

   
   

All of this—built with zero code, managed inside Jigsaw.

It’s your AI feature delivery pipeline, automated.

What Makes Jigsaw Different

Feature	Traditional LLM App	Jigsaw.ai
No-code builder	❌	✅
Multi-agent chaining	❌	✅
Scheduled execution	❌	✅
Tool integrations	Limited	Built-in, extensible
Scales with control	🚧	✅ Logging, governance

What You Can Build

• Developer agents (Jira + Cursor + CI/CD)

• Marketing agents (plan → write → publish → report)

• Recruiting agents (sourcing → outreach → follow-up)

• Ops agents (monitoring → alerts → remediation)

Jigsaw is where no-code AI meets autonomous execution.