Ideas on technology applied to business

AI, automation and technology decisions explained from real problems.

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GPT-5.6: how to choose a model by cost, speed and quality

GPT-5.6: how to choose a model by cost, speed and quality

How to compare capability, speed and cost when choosing an AI model for a real workflow, beyond the name of each variant.

GPT-5.6 Sol, Terra and Luna: what changes for developers

GPT-5.6 Sol, Terra and Luna: what changes for developers

OpenAI splits GPT-5.6 into three tiers: Sol for maximum capability, Terra for balance and Luna for speed. The important change isn't the name, but being able to choose intelligence, cost and time for each job.

Fable 5 and the risk of depending on a single AI provider

Fable 5 and the risk of depending on a single AI provider

A lesson for companies: your AI strategy needs alternatives, your own data and an architecture that doesn't depend on a single provider.

AI agents on Windows: opportunities and controls for companies

AI agents on Windows: opportunities and controls for companies

AI agents promise to carry out more tasks. The opportunity for companies is in designing processes, permissions and controls before automating.

Microsoft Build 2026 and the new PC for developers with local AI

Microsoft Build 2026 and the new PC for developers with local AI

Microsoft Build 2026 showed something bigger than Copilot: a new generation of developer PCs able to run AI models locally and connect to the cloud.

AI should serve us, not decide for us

AI should serve us, not decide for us

AI can save time and open up opportunities, but it can also concentrate power and displace human decisions. The challenge isn't to stop the technology, but to use it with good judgment.