Practical guides for teams shipping production AI: agents, automation, rescuing AI-built prototypes, and web and mobile product engineering. Each article answers one buyer question with trade-offs, not hype.
Gemini 4 Argon for real game development
Google opened Gemini 4 Argon on 13 October 2026. The model can prototype playable 3D games. A shipped game still needs rules, netcode and a studio that stays on the build. Acrox League is coming soon.
AI product development in phases: from use case to production
AI products carry more uncertainty than conventional software. A phased approach, from use case to feasibility, narrow build, limited launch and expansion, turns that uncertainty into decisions backed by evidence.
How much does it cost to build an app in 2026? A scoping guide
App cost is driven by platforms, roles, integrations, AI features and the quality bar, not by the idea. Here are the main cost drivers, illustrative ranges with their assumptions, and how to get an estimate you can defend.
How to choose an MVP development company
The right MVP partner reduces scope and risk rather than selling you the biggest build. Here is how to evaluate scoping behavior, production evidence, estimates, engineering practices and ownership.
Custom AI solutions vs off-the-shelf SaaS: a build-or-buy framework
Build where the workflow is a differentiator or the data is yours alone; buy where a vendor already solves a common problem well. Here is a five-question framework and the hybrid pattern most teams end up with.
Fixed price vs time and materials for AI projects
AI projects mix known engineering with open questions about model behavior. Price each part by how much of it is actually known, instead of forcing one contract model onto the whole project.
Hire an AI developer or an AI studio? Cost, risk and speed compared
An in-house AI developer suits ongoing work you can manage; an AI studio suits a first production system on a deadline. Here is how cost, risk, speed and knowledge retention compare, and how to combine both.
Writing a product brief a developer can estimate accurately
Estimates fail less from bad arithmetic than from missing decisions. Here is how to write a product brief that exposes those decisions before anyone quotes a number.
