No fluff, no thought-leadership theater. What we've shipped, what broke, what we'd do differently, from engineers who actually write the code.
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GPT-6's Intelligent UI builds working tools inside the chat. What it does well, where it stops, and why your own platform still matters.
Read article →Written by the engineers who ship, not the marketers who observe. Filtered by what's actually useful in 2026.
Muse Wonder and Muse Wonder Full are Meta's most capable models yet, built for agentic work with Active Memory and Active Focus. What they do, who can use them today, and what it means if you build on AI.
Meta's Muse passed 5 million downloads in three weeks. How a personal AI agent app actually works, what it takes to build one, and the honest way to scope it.
Tab is a personal AI assistant you text on iMessage or WhatsApp, launched at a $300 million valuation. How it works under the hood, what it takes to build one, and where the opening is for smaller teams.
White-label from $8,000, custom from $15,000. An honest breakdown of the three app routes, what each costs, and five questions that tell you which one fits your business.
What a HIPAA-compliant telemedicine app costs: ready-made from $8,000 plus $500 a month, custom from $15,000. Indicative prices, confirmed after a discovery call.
Google announced Gemini 4 Argon on September 30, 2026. Learn what is confirmed, who can access it, and how to prepare your product while the rollout is restricted.
Food delivery app costs from $3k (white-label) to about $31k (custom). See managed vs buyout, custom price ranges, hidden costs and how to choose.
How DoorDash's text-to-order AI agent works, what a smaller delivery business needs to build one, and indicative platform and agent costs.
What OpenAI's new always-on Dots agents are, who can use them today, how to set one up, and the best use cases for your business.
Navigate the mobile app development landscape with proven strategies to create impactful user experiences.
Paid entry, advertising and marketplace commission are not interchangeable. They differ in build cost, in when revenue arrives, and in how badly they fail when something goes wrong mid-stream. Notes from shipping all three in one product.
Generating a personalised story and narrating it in a real voice takes two model calls that are slow enough to lose a five-year-old's attention. Here's how we got median time-to-audio under 8 seconds — and why most of the win came from ordering, not from faster models.
We shipped a Flutter super-app with a social feed, live rooms, messaging, a roommate finder, a marketplace and three more modules — on both stores in under five months. The hard part was never the feature count. It was coherence.
After a client's GPT-4 bill hit $40K/month, we ran a two-week cost sprint. Here's the full playbook — prompt caching, model routing, batching, and quantisation — with real numbers.
After shipping 40+ mobile apps across both stacks, here is when we recommend React Native and when we don't — with real performance benchmarks, team cost analysis, and the three cases where native wins every time.
Silo, pool, and bridge — three multi-tenancy architectures for SaaS. We have built all three in production. Here is when each is the right choice and the exact point at which each one becomes a liability.
The gap between what designers ship in Figma and what engineers build is one of the most persistent sources of rework in software teams. After systematising handoff across 30+ product teams, here is what actually works.