AI Hub
Practical, honest guides to how AI actually creates value inside software and companies — what works, what does not yet, and how I approach each area.
Topics
Each page covers what the area is, real business use cases, honest limitations, how I approach it and frequently asked questions.
How I think about AI
Most AI value in business is in unglamorous work: reading documents, triaging enquiries, answering questions from company knowledge. The differentiator is the product around the model — the workflow, validation, review and logging — not model size.
Start with a specific person's specific pain and a measurable outcome.
Money, permissions and compliance stay in plain code; AI handles the messy steps.
Confidence-gated automation with review loops that make the system better over time.
AI business ideas
A tool that turns WhatsApp photos, PDFs and emailed invoices from small-business clients into clean, categorised accounting entries with a review queue.
An assistant that reads incoming enquiries from web forms, email and messaging, qualifies them, drafts replies and keeps a simple pipeline for owners who have no time for a CRM.
An assistant that tracks statutory deadlines, explains what each filing requires in plain language and prepares document checklists for small Indian businesses and their advisors.
Insights
A grounded look at where AI-powered software is heading — interfaces, agents, economics, trust and the enduring fundamentals — with clear labels on what is observation and what is opinion.
Read articleAn analysis of AI business opportunities in India — the structural reasons the market is different, the sectors with the widest gaps, design constraints and the founder playbook that fits.
Read articleFifteen software business ideas for entrepreneurs — vertical SaaS, marketplaces, tools and productised services — with the customer, model and risk for each, and how to choose.
Read articleFrom a validated AI idea to a shippable product: defining the MVP, choosing architecture, designing for uncertainty, planning the build and preparing for launch.
Read articleA practical validation framework for AI business ideas: problem interviews, the manual 'concierge' test, feasibility checks on data and accuracy, pricing tests and go/no-go criteria.
Read articleTwenty-five practical AI business ideas across industries, each with the customer, the AI's role, a business model and the main risk — plus a framework for choosing one.
Read articleLet's work out where AI genuinely creates value — and where it does not — before you invest.