Automating Regulatory Intelligence: How AI Transformed Our Global Submission
How AI reduced regulatory submission prep from 14 weeks to 4 weeks, automated
Writing
Articles
Practitioner-level writing on AI product management, enterprise GenAI deployment, and building in public. No fluff — just what actually works.
Predictive Supply Chain Intelligence: AI for Pharmaceutical Manufacturing
How AI predicted 89% of pharmaceutical supply disruptions 6+ weeks in advance,
AI-Accelerated Drug Discovery: From Target Identification to Lead Optimization
How AI reduced hit-to-lead from 18 months to 4 months, identified 3 novel
Real-Time Adverse Event Detection: Building an AI-Powered Pharmacovigilance
How we built an AI pharmacovigilance platform that reduced ICSR processing
Deploying Computer Vision for Surgical Instrument Tracking: What the Papers
The gap between a published model and a production system in the OR is wider
The Build vs Buy Decision for AI: A Framework That Works in Any Industry
The build vs buy decision for AI is more complex than traditional software
RICE Prioritization for Regulated Industries
Learn how to apply RICE prioritization framework in regulated industries
State of AI in Healthcare 2026: Executive Summary
1,591 active AI clinical trials. 50 involving LLMs. 17 in Phase 3. Key findings
The Agentic AI Stack: Architecture Patterns for Production Systems
Agentic AI in production is a systems engineering problem more than an AI
Recursion Pharmaceuticals: AI-First Drug Discovery
Discover how Recursion Pharmaceuticals leverages AI-first drug discovery
Stakeholder Mapping Canvas for Enterprise AI Products
Learn how to create a comprehensive stakeholder mapping canvas for enterprise
How to Evaluate an AI Vendor: A Scorecard That Works Across Industries
Use our proven scorecard template to evaluate AI vendors effectively across
My AI Stack in 2026: Every Tool I Use and Why
Here is every AI tool in my stack as of 2026 — what I actually use
What HIMSS 2026 Tells Us About Where Life Sciences & Healthcare AI Is Really Going
HIMSS 2026 confirmed what many of us expected: the ambient scribe moment
LangChain vs LlamaIndex vs Haystack: The 2026 RAG Stack Comparison
Compare LangChain vs LlamaIndex vs Haystack for your 2026 RAG stack with
OpenAI vs Anthropic vs Google: Enterprise AI Platform Comparison 2026
Compare OpenAI, Anthropic, and Google enterprise AI platforms for 2026 to
RAG vs Fine-Tuning vs Agents: A 2026 Decision Framework (Not Just for Healthcare)
Learn when to choose RAG vs fine-tuning vs agents for your AI projects with
GenAI Build vs Buy: A Decision Matrix for Enterprise LLM Decisions
Discover the GenAI build vs buy decision matrix to evaluate enterprise LLM
The Rise of AI in Retail: From Recommendations to Autonomous Pricing
Retail is where AI moved from theory to commercial practice faster than almost
PRD Template for AI Products in Regulated Industries
Get a comprehensive PRD template for AI products in regulated industries
How AI Is Reshaping FinTech: From Fraud Detection to Autonomous Trading
Financial services is one of the most data-rich, highest-stakes industries
AI in HR: From Resume Screening to Predictive Attrition
AI in HR promises efficiency and objectivity. The reality is more nuanced
Flatiron Health vs. Medidata: Real-World Evidence Platforms Compared
Compare Flatiron Health vs Medidata real-world evidence platforms to choose
How AI Is Transforming Clinical Trial Patient Recruitment: A Product Manager''s
Discover how AI transforms clinical trial patient recruitment through advanced
Multimodal AI Explained: Text + Images + Video in One Model
For most of AI''s history, a model did one thing: text, or images, or speech.
Veeva vs. Salesforce Health Cloud: CRM for Life Sciences in 2026
Compare Veeva vs Salesforce Health Cloud CRM platforms for life sciences
From Pilot to Production: A 7-Step Checklist for Deploying GenAI in Healthcare
Most healthcare GenAI pilots never reach production. Here is the 7-step checklist
AI in Education: How Personalized Learning Is Finally Becoming Real
Education has promised personalization for decades. Adaptive learning, individualized
FDA''s New AI Guidance Decoded: What Builders Need to Know
FDA's new AI guidance sets clear frameworks for Life Sciences & Life Sciences & Healthcare AI builders with
Enterprise GenAI: From POC to Production
Why most POCs fail and what to do about it - a practitioner's guide to moving
AI in Supply Chain: How Predictive Models Are Replacing Just-in-Time
Discover how AI predictive models are revolutionizing supply chain management
Product Breakdown: Viz.ai''s Stroke Detection — Speed as a Feature
How Viz.ai turned a 26-minute time savings into a billion-dollar business
Prior Authorization AI: Reducing Healthcare''s $31B Administrative Burden
Discover how prior authorization AI streamlines healthcare workflows, cuts
FDA SaMD Guidance Explained: What Every Life Sciences Product Manager Needs
Discover key insights from FDA SaMD guidance to navigate software as medical
Clinical Trial AI Playbook
Discover proven AI strategies to optimize clinical trial design, patient
Life Sciences & Life Sciences & Life Sciences & Healthcare AI PM Fundamentals
Everything I wish I knew when I started in Life Sciences & Life Sciences & Healthcare AI
The ROI of AI: How to Build a Business Case Your CFO Will Approve
Most AI business cases fail the CFO review because they overestimate benefits,
How Tempus Built a $6B Clinical AI Platform
Discover how Tempus built a $6B clinical AI platform by leveraging genomic
The AI Product Lifecycle: From POC to Production
Most AI POCs succeed. Most AI production deployments struggle. The gap isn't
How We Reduced Clinical Trial Matching Time by 73% with RAG
A real-world implementation of retrieval-augmented generation for matching
How to Write a PRD for an AI Feature (Template Included)
Learn how to write a PRD for an AI feature with our step-by-step guide and
State of AI in Healthcare 2026: From Clinical Trials to Production
1,591 active AI clinical trials. 50 involving LLMs. 17 in Phase 3/4. A practitioner's
Mental Models for AI Product Decisions: When to Ship vs When to Wait
Learn proven mental models for AI product decisions including risk assessment
Building a Real-Time Adverse Event Detection System for Post-Market Surveillance
From 6-week manual review cycles to real-time signal detection — how we rebuilt
Ethics and Responsible AI: A PM''s Practical Guide
Responsible AI for PMs is not an ethics lecture. It''s a set of practical
Viz.ai: AI Triage from FDA Clearance to 1,400+ Hospitals
Discover how Viz.ai scaled from FDA clearance to 1,400+ hospitals with AI
Defining MVP for AI Products: Less Is Different
The classic MVP framework - build the smallest thing that tests the riskiest
FDA AI/ML Regulatory Checklist for Life Sciences & Healthcare
Navigate FDA AI/ML regulations with our comprehensive regulatory checklist
Go-to-Market Strategy for AI Products
AI products have a trust problem that traditional software doesn't. Your
LangChain vs. LlamaIndex for Healthcare RAG: A Technical Comparison
Compare LangChain vs LlamaIndex for healthcare RAG applications with detailed
Building Cross-Functional AI Product Teams
AI products fail more often because of team dynamics than technical capability.
Enterprise RAG Architecture Guide
Learn how to design and implement enterprise RAG architecture with scalable
Vendor Evaluation Framework for AI/ML Platforms
Most vendor evaluations for AI/ML platforms are theater. You run a demo on
AWS HealthLake vs. Google Cloud Healthcare API: Building Healthcare Data Platforms
Compare AWS HealthLake vs Google Cloud Healthcare API features, pricing,
The AI Product Manager''s Toolkit: 10 Frameworks That Work Across Industries
After building AI products across healthcare, edtech, and CPG, I've distilled
RICE for AI: Modified Prioritization Framework
Standard RICE doesn't work for AI products because 'confidence' means something
User Research for AI Products: What Changes
Standard user research methods mostly apply to AI products, but several
AI Vendor Evaluation Scorecard for Life Sciences & Healthcare
Download our free AI vendor evaluation scorecard to systematically assess
AI Product Management Interview Prep: 50 Questions You''ll Actually Get Asked
Master your AI product management interview with 50 real questions covering
Build vs Buy Matrix for AI Products: The Complete Framework
Stop treating build vs buy as a binary. There are 4 options, 6 decision axes,
Understanding AI Inference Costs at Scale
At low volumes, AI inference costs are invisible. At scale, they become the
Reinforcement Learning from Human Feedback (RLHF) Demystified
RLHF is the training technique that turns a raw language model into a helpful,
AI Product Roadmap Prioritization: Beyond RICE
RICE works fine when you know what you're building. AI products break that
Transformer Architectures Explained for Product People
Transformers are the engine inside every large language model you're building
AI Product Manager Interview Guide: 50 Questions You''ll Actually Get Asked
50 real AI PM interview questions organized by category — product sense,
Agentic AI Explained: What It Is, Why It Matters, and How to Build With It
Learn what agentic AI is, why it's revolutionizing life sciences and healthcare,
Claude vs GPT-4 vs Gemini: Enterprise AI Platform Showdown
I've spent the last two years building AI products on top of Claude, GPT-4,
First Principles for Product Managers
Not the Elon Musk cliche - a practical explanation of first-principles thinking
AWS Bedrock vs Azure OpenAI vs Google Vertex AI
If you're an enterprise AI product leader, this is the decision that shapes
Stakeholder Alignment Canvas for AI Products
AI products fail at the stakeholder layer more often than the technical layer.
The Hidden Risks of LLM Hallucination in Life Sciences: What Every Product
A hallucinated drug dosage or fabricated clinical trial result is not a UX
Building in Public: How I Automated My Entire Content Pipeline with AI Agents
I built a system of AI agents that handles ideation, scripting, editing,
Launch Playbook: Taking an AI Product from Beta to GA
The beta-to-GA transition for AI products is more complex than traditional
Life Sciences & Life Sciences & Healthcare AI Product Roadmap: How I Prioritize Features Across
I manage AI features across 10 clinical products simultaneously. Here is
Vercel AI SDK vs LangChain vs LlamaIndex for Production Apps
I've shipped production AI applications using all three of these frameworks.
The 10x Cost of Wrong AI Use Cases
A failed AI project doesn't just cost the budget allocated to it. It costs
How I Use AI Agents to Run My Entire Content Operation
I'm an AI product manager who got tired of the gap between knowing how to
Big Tech PM Interview Prep Guide
Master your big tech PM interview prep with our comprehensive guide covering
Epic vs. Tempus: Two Approaches to AI in Healthcare
Compare Epic and Tempus AI healthcare platforms to discover which approach
Synthetic Data: When, Why, and How
Synthetic data — AI-generated data designed to mimic real data — solves
Research Preview: Cross-Industry Patterns in AI Product Management
A preview of an upcoming research paper analyzing 100+ AI product launches
Stakeholder Management for AI Products: A PM''s Survival Guide
AI products have a stakeholder challenge that no PM school prepares you for.
Enterprise GenAI Governance in Life Sciences: A Framework for Responsible
Learn how to implement enterprise GenAI governance frameworks in life sciences
Fine-Tuning vs Prompt Engineering: A Decision Framework
I spent six weeks at Edxcare building a fine-tuned model for a problem that
First Principles of Data Strategy
Most companies have a data infrastructure strategy but not a data strategy.
What 155 Posts in 3 Months Taught Me About Content Strategy
155 posts. 15 pages. 59 tags. 0 email subscribers. Three months in, here's
AI in Legal Tech: How LLMs Are Automating Contract Review
Discover how AI in legal tech is transforming contract review through LLMs
MLOps for Product Managers: What You Need to Know
You do not need to implement MLOps. You do need to understand it well enough
Why AI Teams Need Product Managers, Not Project Managers
Most enterprise AI teams are staffed and managed like software delivery projects.
Break Into AI Product Management
A practical guide to transitioning into AI PM - what's actually different,
Building Production Agent Systems: Lessons from the Trenches
Demos of AI agents look magical. They browse the web, write code, send emails,
Build vs. Buy AI in Life Sciences: A Framework for Enterprise Decision Makers
Every enterprise AI decision eventually becomes a build-vs-buy decision.
Building in Public Month 1: What Worked, What Didn''t
One month in. 40+ blog posts. A new site. A content pipeline I didn't know
AI Product PRD Template: The Practitioner''s Version
A PRD template built specifically for AI products — not a generic PM template
Product Breakdown: Epic''s GenAI Strategy — Why the EHR Giant Will Win the
Epic has distribution, data, and trust. Startups have speed and innovation.
Vector Databases Compared: Pinecone vs Weaviate vs Chroma vs Qdrant
Pinecone, Weaviate, Chroma, and Qdrant all store and retrieve vectors — but
Why Domain Expertise Beats Model Performance
The AI product that wins in a competitive market isn't usually the one with
AI Product Metrics That Actually Matter: Beyond Accuracy
Discover the AI product metrics that actually matter beyond accuracy including
Product Metrics Dashboard Template for Enterprise AI
Download our comprehensive product metrics dashboard template designed for
The First Principles of Life Sciences & Life Sciences & Healthcare AI Product Management
Most AI product frameworks break in healthcare. Here are the five principles
The Ethlore Story: Where D2C Sarees Meet AI
Ethlore is a D2C handloom saree brand I''m building with my brother. We
Pricing AI Products: Models That Work
AI product pricing is harder than SaaS pricing because the value delivered
Multimodal AI in Enterprise: Beyond Text
Most enterprise AI in 2024 was text-in, text-out. 2025 is when multimodal
Why Most AI Products Fail Before They Launch
Most AI product failures aren't model failures. They're alignment failures,
Why Enterprise AI Teams Ship Slower Than They Should
I've watched enterprise AI teams take 18 months to ship what a startup builds
Embedding Strategies That Actually Scale
Bad embedding choices do not surface in a prototype with 100 documents. They
The Shadow AI Problem: When Your Team Uses AI Tools You Don''t Know About
Your clinicians are using ChatGPT for patient notes. Your analysts are using
Prompt Engineering Playbook for Product Teams
Prompt engineering is not a hack you use before the real engineering starts.
RAG vs Fine-Tuning vs Context Windows: Which Architecture Actually Works for
Life Sciences & Life Sciences & Healthcare AI teams face a critical architecture decision: RAG, fine-tuning,
Building a Personal Brand from Scratch: Month 1 Retrospective
I launched devangshumitra.com, published 30 posts in the first month, and
The Complete Guide to AI Model Evaluation
Most AI teams measure accuracy on a test set and ship. This is how you end
Why AI Products Should Launch Ugly
The most expensive decision in AI product development is the decision to
How I Automated My Entire Content Pipeline with AI Agents
I have a full-time job at HCLTech, a side brand, a D2C startup, and I''m
Managing Technical Debt in AI Products
AI products accumulate debt in three dimensions simultaneously: model debt
LLM Evaluation Framework for Regulated and Clinical Contexts
Learn how to implement a comprehensive LLM evaluation framework designed
Model Distillation: Making AI Affordable at Scale
GPT-4o is extraordinary. At $15 per million output tokens, calling it a billion
The Build vs Buy Decision Framework for AI
The build vs buy question for AI is almost always answered wrong because
AI Product Metrics Dashboard: What to Track and Why
Most AI teams only measure model accuracy. Here's the 4-layer framework I
Databricks vs Snowflake for AI/ML Workloads
This debate has been running in data engineering circles for years, and
The Moat Myth: What Actually Defends AI Products
The most common AI startup pitch includes the line about a proprietary model
Stakeholder Management When Nobody Understands AI
The hardest part of building AI products isn''t the model. It''s explaining
RAG Architecture Decision Guide: When to Use What
A PM-friendly guide to RAG architecture decisions. Covers the decision tree,
Vector Database Showdown: Pinecone vs Weaviate vs Chroma vs Qdrant
Four vector databases, four different bets on where the market is going.
Product Breakdown: How Tempus Uses AI to Personalize Cancer Treatment
Dissecting Tempus's data-first approach to precision oncology — and why their
Personal Brand Building for AI Product Leaders
How to build a personal brand in the AI space while working full-time. Platform
AI Product Documentation That Engineers Actually Read
Most AI product documentation fails for the same reason: it''s written for
Prompt Engineering Library: 50+ Production-Tested Life Sciences & Healthcare AI Prompts
Discover 50+ production-tested Life Sciences & Life Sciences & Healthcare AI prompts for medical diagnosis,
RAG Architecture Patterns: When to Use What
Most RAG implementations start the same way: chunk your documents, embed
Why Most AI POCs Fail: 7 Patterns I''ve Seen Across Industries
I have watched more AI POCs fail than succeed across healthcare, CPG, edtech,
Notion AI vs Coda AI vs Clickup AI for Product Teams
I've used all three as my primary product management workspace at different
First Principles Thinking for Life Sciences Product Managers: Beyond Best
Learn how first principles thinking helps life sciences product managers
PM Portfolio Template
Get our free PM portfolio template to showcase your product management projects,
The Architecture of Production ML Pipelines
Most ML tutorials end at model training. Production ML starts where those
First Principles of Building AI Products: What Most PMs Get Wrong
Building AI products requires breaking almost every mental model that made
From Enterprise PM to AI PM: The Transition Playbook
A step-by-step playbook for product managers transitioning from enterprise
RAG vs. Fine-Tuning vs. Prompt Engineering: A Life Sciences Product Manager''s
Three techniques. One wrong choice can cost you six months and $500K. Here
Multimodal AI: Beyond Text — Vision, Audio, and Video
Multimodal AI — models that process images, audio, and video alongside text
Complexity is the Enemy of AI Adoption
The AI adoption problem is not a model problem. It's a UX problem. Sophisticated
STAR Framework for PM Interviews
Master the STAR framework for PM interviews with actionable tips to structure
Building Geenie: My Personal AI Operating System
I'm building an AI operating system for my life — not just a productivity
The Build vs Buy Decision for Enterprise LLM Integration
Build vs buy for LLMs is not a binary choice. It's a spectrum from pure API
Fine-Tuning vs RAG vs Prompt Engineering: A Decision Guide
The three main approaches to customizing AI behavior are not interchangeable.
Latency, Accuracy, Cost: Pick Two
Every AI system is a set of tradeoffs between latency, accuracy, and cost.
How Embedding Models Actually Work
Embedding models convert text into vectors that capture meaning. They're