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Jigsaw.ai: The Platform Powering Autonomous AI Agents

  • Andrew Dobson
  • Jul 22
  • 2 min read

Why we’re building a full-stack engine for practical, self-directed AI systems.


Jigsaw.ai the platform powering automomous ai agents

We’re entering the era of AI agents—not just tools that assist, but systems that think, plan, and act independently.

The challenge? Building these agents isn’t just about writing better prompts. It requires a foundation—an execution engine designed for autonomy, context, and continuity.


That’s why we created Jigsaw.ai.


The Problem: Agents Are More Than Prompts


Most “agents” today are little more than wrappers around LLMs. They can reason through a single task, but they lack:

  • Memory of what came before

  • Persistence across time or state

  • Structured environments to operate in

  • Interoperability with real systems and APIs


This makes them great at demos—and unreliable in production.


Jigsaw.ai: A Full-Stack Platform for Agentic Execution


Jigsaw is our internal engine for building, scheduling, and deploying autonomous AI agents. It’s the backbone behind all Ajentx products.


It provides:


Prompt Pipelines

Chain structured prompts across multiple roles (planner, implementer, validator) using reusable templates and logic.


Context Memory

Pass rich, structured state across steps—stories, files, outputs, and more. Think of it as a long-term working memory for agents.


Schedulers & Triggers

Run agents on intervals, events, or goal completion—whether it's checking for new property listings or watching Jira for tagged tickets.


API & System Integration

Call real services, read/write to databases, push code, or send messages. Agents don’t just think—they do.


Audit Trails & Replayability

Every agent task is versioned and traceable. You can debug, re-run, or improve flows based on historical runs.


Built for Real-World Use Cases

We didn’t build Jigsaw as a research project. We built it because we needed it.

Here’s how we’re using it today:


Property Assistant AI

An agent that:

  • Continuously searches for properties

  • Evaluates deals based on investor strategy

  • Updates users with proactive alerts and insight


AI Developer Agent

An agent that:

  • Monitors Jira for tagged stories

  • Plans and writes feature code

  • Tests, builds, and opens a pull request


Coming Soon: Social Marketing Agent

An agent that:

  • Generates social content

  • Learns what performs

  • Schedules and posts across channels autonomously


Each use case is built with Jigsaw at the core—and each one proves that real-world agents need more than GPT calls.


Where We’re Going

Our long-term vision is simple:

Jigsaw will be the orchestration layer for agentic AI in vertical software.

As LLMs become cheaper and more capable, the bottleneck shifts from intelligence to execution.


Jigsaw solves this with an opinionated, pluggable, and production-grade framework—designed for startups, SaaS products, and internal automation.


Want In Early?


We’re actively partnering with startups and builders who want to integrate agentic workflows into their products.


If you’ve got a domain-specific use case—or want to build your own vertical AI product—let’s talk.

Ajentx is building the future of agentic software. Jigsaw is how we’ll get there.

 
 
 

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