Manish Sinha
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Entry-Level Work Is Being Restructured Faster Than Anyone Admits
Not eliminated. Restructured. The difference matters and it is not comforting
Mar 20
•
Manish Sinha
1
Agents Are Replacing Workflows, Not Just Tasks
The job displacement story everyone is telling is too small
Mar 19
•
Manish Sinha
1
The Framework Was Patching the Model, Not Helping You
LangChain made sense in 2023. The model limitations it was compensating for no longer exist
Mar 18
•
Manish Sinha
1
The Model Itself Is Not Your Competitive Advantage
GPT-4-level performance now costs 1/100th of what it did two years ago. Think about what that means
Mar 16
•
Manish Sinha
1
Your Retrieval Pipeline Is Solving Yesterday's Problem
The RAG era is ending. Most teams haven't noticed yet
Mar 15
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Manish Sinha
1
February 2026
Leverage Pre-trained Models Over Custom Training
Why building from scratch is a sunk cost trap
Feb 11
•
Manish Sinha
1
Pilot your AI Application Rigorously, Scale Incrementally
How to prove AI works without destroying your business
Feb 9
•
Manish Sinha
1
Prioritize AI Data Infrastructure Over AI Model Sophistication
Why your fancy model is garbage if your data is garbage
Feb 5
•
Manish Sinha
1
Implement AI Governance Before Scale
Why early process design matters more than model selection
Feb 4
•
Manish Sinha
1
Treat AI as an Augmentation Layer, Not a Replacement
The case for wrapping, not ripping out
Feb 2
•
Manish Sinha
1
January 2026
Adopt Modular, API-First Architecture for your AI Application
Why monolithic AI systems are a debt trap
Jan 29
•
Manish Sinha
2
Start with AI Business Alignment, Not AI Technology
I’ve watched a lot of AI projects fail.
Jan 28
•
Manish Sinha
2
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