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The Missing Product Layer for Multi-Agent Systems
Multi-agent systems fail without permissions, handoffs, visibility, and recovery. How AI PMs and engineers should design a product control plane.
Apr 11
•
Nilesh Barla
316
1
Why AI Took Coding Before Everything Else
Why AI automated coding before law, design, or strategy, and what the verifiability thesis reveals about where automation goes next for product leaders.
Apr 4
•
Nilesh Barla
210
March 2026
How To Design AI Features For Nondeterminism
Why variance, drift, and reasoning failures are not engineering problems, and how to design around them before you ship.
Mar 28
•
Nilesh Barla
171
1
Your AI PRD Is Missing Its Hardest Sections
How to write acceptance criteria, failure modes, and behavioral constraints for an AI feature PRD.
Mar 21
•
Nilesh Barla
261
1
Embeddings for AI Agents: What Product Leaders Must Know
Embeddings determine what your agent retrieves, remembers, and routes. Here's what every PM and product leader needs to understand about the embedding…
Mar 14
•
Adaline
198
1
From Zero To 100,000: The Questions We Set Out To Answer
One year of Adaline Labs. Over 100,000 subscribers. Here's what we believed, what turned out to be true, and what completely surprised us.
Mar 11
•
Arsh Shah Dilbagi
174
1
Sub-Agents For Product Managers: Stop Directing A Tool. Start Running A Team.
The chatbot model has a structural ceiling. Sub-agents are what's above it.
Mar 7
•
Nilesh Barla
260
1
AI Observability And Evaluations: The Operating System For Reliable LLM Products
A practical guide to measuring LLM behavior, catching silent failures, and improving with real production data.
Mar 4
•
Arsh Shah Dilbagi
226
1
1
February 2026
In the Age of Agentic Engineering, Context Is Your Real Product
What every product leader needs to understand about shipping AI that actually works
Feb 28
•
Nilesh Barla
321
3
The AI Skills No One Is Teaching Product Managers (But Should Be)
You have the tools -- Claude Code and GPT-5.3 -- but here's the skill layer that makes them actually work.
Feb 21
•
Nilesh Barla
184
1
Investor And Venture Outlook On AI | Takeaways For Founders And Product Leaders
A grounded lens on where AI value will compound, which risks matter, and why execution discipline beats hype.
Feb 18
•
Arsh Shah Dilbagi
25
1
Claude Opus 4.6 vs GPT-5.3 Codex: Which AI Coding Model Should You Use?
A practical comparison for real PRs; when to use Claude for building and Codex for review, refactors, and reliability.
Feb 14
•
Nilesh Barla
113
2
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