Aishwarya & Arvind
Nikhil Pareek
Free Lesson

Can AI Actually Self-Improve?

60 min
Sep 1, 2026 12:00 PM

What you'll learn

Map the self-improvement loop

Trace how failure, evaluation, root cause, fix and validation connect into one working loop.

Closing the improvement loop

How do you move from a failure → proposed change → validation, and eventually automate parts of this cycle?

Safe self-improvement

Decide which layers an agent may change—prompts, context, retrieval, tools, models—without regressions elsewhere.

Human-in-the-loop

Which parts of this process can realistically be autonomous today, and where is human judgment still essential?

Why this topic matters

Gain a concrete technical blueprint for building agents that don't just get monitored in production but can systematically learn from failures, validate improvements, and get better over time.

You'll learn from

Aishwarya & Arvind

Aishwarya & Arvind

AI Engineers | Building & Teaching @ The Gen Academy

Nikhil Pareek

Nikhil Pareek

Founder & CEO of Future AGI

See all products from Aishwarya Srinivasan & Arvind Narayan
Get free access