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Field notes on building with AI Practical AI advice for founders and engineering leaders

What to check, what it costs and what to do next, whether you're adopting AI or growing an engineering team. Written for founders, CTOs and engineering managers in India.

  • Every figure sourced
  • A clear next step in every post
  • Short enough to finish
· 4 min read Beyond SSL: The Non-Negotiable Layers of Security Before Launching a Web App An SSL certificate is the start, not the plan. Six layers that catch what the one before missed, a 3D map of how they fit, and a check to run before launch. What's inside A 3D map of six security layers and what each one stops What OWASP, Verizon and CERT-In say you can't skip A twelve-point pre-launch score Pankaj Kumar Pandey VP-Engineering Read the post →

MORE POSTS

· 4 min read High-Volume Resume Screening Is Broken: Why LLM-Driven Parsing Fails and How to Fix It Rules for the must-haves, semantic matching for the rest, and a recruiter on every decision. With real costs and a build estimate. Read the post → · 3 min read When NOT to Use an LLM: Replacing $0.05 API Calls with $0.00 Algorithms Summaries, validation, routing and calculations: where ordinary code beats a language model, and what the API version would cost you each month. Read the post → · 3 min read The Hidden Cost of AI Pilots: Why Most Enterprise GenAI Projects Stall After the Demo What a pilot skips and production charges for: data cleanup, DPDP review, edge cases, running costs. With a go or stop checklist. Read the post → · 3 min read Scaling from 5 to 100 Engineers Without Breaking Production: System Design Principles Draw teams before services, give every role one job, and measure delivery rather than activity. From growing a team past a hundred. Read the post → · 3 min read Decide What NOT to Build: The Strategic Framework Behind Lean Tech Stack Design Most of the value is in what gets cut. A five-step order for deciding what enters the engineering queue, with a ranking you can copy. Read the post → · 3 min read Refactoring Live Systems: Supporting ₹1,000+ Crore in Business Without Downtime No big-bang rewrites. Three techniques for changing a live system safely, which one to use when, and how to test whether you're ready. Read the post → · 3 min read Human-in-the-Loop Automation: Designing AI Workflows That Staff Actually Trust Sort work by risk, show the reason behind each decision, and make overriding easy. How to automate without losing your team's trust. Read the post → · 3 min read Beyond the Chatbot: Building Autonomous AI Agents for Enterprise Workflows Chatbot, workflow or agent: which to build, how to give an agent tools through MCP, and the permissions it should never have alone. Read the post → · 3 min read Measuring AI ROI: 4 Metrics That Matter (And 3 Vanity Metrics to Ignore) Four business numbers that prove AI is working, three that only look impressive, and how to set a baseline before you launch. Read the post → · 5 min read How to Audit Your Tech Stack for AI Readiness Before Spending a Rupee on APIs A practical five-layer audit, a scoring framework and a real cost comparison, so you know whether your stack is ready before you pay for a single API call. Read the post →

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