Field-tested thinking on AI agents, product engineering, mobile, design and security — written by the people who build it.
Agents can now plan, use your tools and finish real work. Here is how to choose the right first use case, design the guardrails, and get from an impressive demo to a system your team relies on every day.
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Families are drowning in schedules, school emails and small decisions. AI can genuinely lighten that load — if it is designed around real household jobs, several family roles, children's privacy and clear human control. A guide for product teams.
15 November 2026
There is no single price for an app, but there is a reliable way to reason about it. Here is what actually drives app development cost, how complexity tiers compare, how to estimate a budget yourself and how to reduce cost without cutting quality.
15 November 2026
Building a dating app is less about copying swipe mechanics and more about trust, density and a clear audience. Here is a practical guide to features, matching, safety, privacy, monetisation and what to ship first.
15 November 2026
Building a SaaS product means building two things at once — the product customers use and the machinery that lets you sell, bill, support and scale it. Here is the process, step by step, from validating the idea to growing beyond your first customers.
15 November 2026
A social app is a loop, not a feature list. This guide covers choosing your social graph, essential features, feed ranking, moderation, media, real-time infrastructure, scaling, safety and what to put in your first release.
15 November 2026
Building an AI app is less about picking the cleverest model and more about choosing the right pattern, preparing your data, measuring quality and designing for trust. Here is the process we follow, step by step.
15 November 2026
The partner you choose shapes your product more than any framework or tool. Here is how to evaluate agencies and studios on the things that actually predict a good outcome — and the red flags worth walking away from.
12 November 2026
AI projects stall in "promising pilot" because nobody defined what success looks like in numbers. Here is a practical framework for baselining, measuring and reporting the real return on AI work.
5 November 2026
Retrieval-augmented generation is how AI answers from your documents instead of guessing. Most failures come from the pipeline around the model, not the model itself. Here is how to build one that holds up.
27 October 2026
Most early SaaS code will be rewritten — and that's fine. But a handful of decisions are expensive to change later. Here are the ones worth getting right in the first months, and the ones you can safely defer.
20 October 2026
A minimum viable product is not a smaller version of the final product — it is the fastest honest test of your riskiest assumption. Here is the process we use to launch quickly without building the wrong thing.
14 October 2026
The cross-platform versus native debate has matured. The right answer now depends less on raw performance and more on your team, your product's demands and your plans for the next three years.
30 September 2026
Adding a model to your product is the easy part. Earning users' trust is a design problem — about expectations, transparency, control and recovery when the AI gets it wrong.
16 September 2026
AI features introduce new kinds of risk that traditional security reviews can miss. Here is a practical overview of the main threats and the layered defences that keep AI products safe.
2 September 2026
Big-bang rewrites are one of the riskiest projects a company can take on. Incremental modernisation lets you replace an ageing system piece by piece — while the business keeps running and value arrives early.
19 August 2026
