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Enhancing Trust in AI Systems
Trust has quietly become the real bottleneck in AI adoption.
Oct 19
•
Pranav Pathak
3
3
User Memory as a Product Delighter
Remembering (and Forgetting) What Matters
Oct 4
•
Pranav Pathak
3
6
September 2025
Approximating a World Model - The Builder's Guide to Stateful AI
Yann LeCun is pushing the field towards world models.
Sep 27
•
Pranav Pathak
Why LeCun is Betting on World Models (and Why Builders Should Pay Attention)
At Nvidia’s GTC 2025, Yann LeCun said something that cut through the noise:
Sep 20
•
Pranav Pathak
3
Testing Something New: A Lightning Lesson on AI Strategy
A while ago I wrote that I’d be building a course on AI Strategy for Product Leaders.
Sep 3
•
Pranav Pathak
2
August 2025
How to Spot the 10% of AI Projects That Work
You’ve probably lived this déjà vu: someone pitches a shiny new feature, the slides are filled with screenshots of chat interfaces or “copilots,” and…
Aug 30
•
Pranav Pathak
4
May 2025
Why I’m Building a Course on AI Strategy for Product Leaders
A few months ago, Gagan Biyani (co-founder of Maven) reached out and nudged me to consider creating a course.
May 17
•
Pranav Pathak
5
April 2025
Prompt Frameworks for Unlocking ChatGPT's Deep Research Capabilities
And Exactly How to Use Them
Apr 13
•
Pranav Pathak
85
2
Demystifying the Model Context Protocol
LLMs are no longer just text predictors — they’re turning into reasoning engines.
Apr 4
•
Pranav Pathak
15
4
January 2025
What LLM technique is right for you?
Should you use RAG? Agents? Fine tuning? Or stick to system prompts?
Jan 22
•
Pranav Pathak
6
1
Understanding LLM Agents
A product builder's perspective
Jan 6
•
Pranav Pathak
16
3
December 2024
Think Big, Start Small
💡Ideation for AI Products
Dec 30, 2024
•
Pranav Pathak
12
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