Notes from
the work.

Decision models like Jev, OpenAI's Decisions API, D1 Ultra and Elephant-1 answer typed questions with probabilities instead of writing text. Here's how they differ from a normal LLM, which one to pick, and how to use both in one workflow.

Your customers already order on WhatsApp, in half-sentences, Hinglish and voice notes. Here's how WhatsApp order automation works, what it costs to run after Meta's October 2026 pricing change, and what to keep in human hands.

The AI pilot looked great in the demo, then quietly stalled. Here are the real reasons pilots don't reach production, none of which are the model, and how to run one that's built to ship.

A chatbot answers questions; an AI agent takes action to complete tasks. Here's the real difference, when each makes sense, and how to choose for your business.

What an AI voice agent is, why multilingual voice matters in India, what it can handle on the phone, and how to deploy one — a practical guide for Indian businesses.

What an AI agent actually costs to build — the factors that move the price, the difference between a quick pilot and a production system, and how to budget sensibly.

A practical list of what AI agents actually do for businesses today — customer support, voice calls, WhatsApp, sales, operations and more, with concrete examples.

An AI agent is software that can understand a goal, decide what to do, and take action to achieve it — not just answer questions. Here's what that means for your business, with real examples.

Most AI projects die in a six-month 'discovery phase'. Ours go live in 4–8 weeks. Here's exactly how — week by week — and why shipping early is the whole point.

Build or buy isn't a religious question. Here's the honest framework we use to tell clients when a SaaS subscription is the right call — and when custom AI actually pays for itself.

A practical framework for evaluating AI agents in production — the metrics that matter, the ones that don't, and what to do when agents fail silently.

Most companies bolt AI onto existing products. That's backwards. Here's why building AI-native from day one produces fundamentally better results.

Voice AI for India isn't just translation. It's code-switching, regional accents, noisy phone lines, and conversations that flow between three languages.

Not every problem needs multi-agent. A practical framework for deciding when one AI agent is enough and when you need a team working together.