How to build fully autonomous production grade AI Agents quickly ?

Building AI Agents iteratively from low agency to high agency

No. That's not possible.

It's easy to build AI agents quickly, but not ones that deliver business value quickly. Because it has nothing to do with the intelligence of foundation models, but more to do with how far the Agent is tuned to do a particular task, custom data integration, learning from feedback, and gradually iterating towards full autonomy.

The notion of the "𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐒𝐩𝐞𝐜𝐭𝐫𝐮𝐦" helps set realistic expectations. It's not binary - "agent or non-agent" - but a spectrum with varying degrees of agency. The most successful AI deployments start small, prove value, and expand methodically.

Looking at the spectrum, successful implementations begin in the bottom left (supervised, simple goals) and methodically work toward the top right (full autonomy, complex goals). The path isn't linear or quick, but this measured iterative approach actually delivers value faster than attempting to jump straight to high agency from day one.

Many projects fail because they aim too high, too fast. Instead, successful AI implementation follows a progression:

1) Start with supervised systems handling simple goals - low agency
2) Gradually increase complexity while maintaining supervision
3) Incrementally grant more autonomy as performance proves reliable
4) Finally reach high-agency solutions through deliberate iteration

Happy Engineering !