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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.

NVIDIA Vera Rubin DSX POD announced at GTC Berlin 2026 — modular AI factory reference architecture

From LLMs to secure autonomous agents: building the next wave of enterprise and Sovereign AI

GTC Berlin 2026 reframed software around AI factories, Sovereign AI, agent harnesses, and Physical AI. Here is the stack that matters for production Super Agents, and how to ship secure custom agents on your data.

Cloudflare Workers AI decision models in October 2026: Clef 27B at $0.240, Clef-flash 9B at $0.038, Clef-omni 30B MoE at $0.150 per million input tokens

Cloudflare's new Workers AI decision models, October 2026

Cloudflare shipped Clef and Clef-flash on 1 October 2026, then Clef-omni on 9 October. They score an allowed answer instead of writing free text. Here is the family, the price, and where it fits a production agent.

Agent Production: a custom AI agent that fits your business

Agent Production: a custom AI agent that fits your business

Agent Production is the next offer for anyone who wants a custom AI agent in their business or their own case. One job, your systems, your industry rules, and a studio that stays after launch.

eTROC homepage with the AI agent answering a buyer request next to live listings

eTROC is live — an AI agent companion to buy, sell and swap

eTROC, our AI agent marketplace, is now live in Morocco. Ask the agent on WhatsApp, Telegram, iMessage, email or the web, and it finds live listings near you, compares them and drafts every message for your approval.

eTROC: an AI agent marketplace companion to buy and sell

eTROC: an AI agent marketplace companion to buy and sell

How we built eTROC, an AI agent companion that helps people buy and sell in Morocco from WhatsApp, Telegram, iMessage, email or the web, grounded in live listings near them.

Agent memory and RAG development: what to store, what to forget

Agent memory and RAG development: what to store, what to forget

Most agent memory problems are storage decisions made by default. Here is how to decide what an agent should remember, where each kind of memory belongs, and when retrieval is not needed at all.

How much does an AI agent cost to build and run?

How much does an AI agent cost to build and run?

AI agent cost splits into a one-time build and a recurring run bill. Here is what drives each, illustrative ranges with their assumptions stated, and how to keep cost per task visible.

AI agent evaluation before production: a practical evaluation harness

AI agent evaluation before production: a practical evaluation harness

An agent that looked good in five demo conversations can still fail on the sixth real one. A small, repeatable evaluation harness turns quality from an impression into a report you can rerun on every change.

AI agent frameworks in 2026: what changed and how to choose

AI agent frameworks in 2026: what changed and how to choose

Agent framework updates in 2026 made the major options look alike on paper. The useful difference is how each one handles crashes, approvals, runaway loops, untrusted tools, and vendor change.

AI agent permissions, tool scopes and audit trails

AI agent permissions, tool scopes and audit trails

An agent's blast radius is the sum of everything it is allowed to call. Here is how to scope permissions per tool, keep credentials narrow and short-lived, and record an audit trail that answers who asked, what ran, and what changed.

How to choose an AI agent development company: a buyer's checklist

How to choose an AI agent development company: a buyer's checklist

Judge an AI agent development company on how it scopes tools and permissions, evaluates behavior, handles failure, keeps humans in control and hands over ownership, not on how clever the demo looks.

Human-in-the-loop AI agents: approval steps that don't kill the return on investment

Human-in-the-loop AI agents: approval steps that don't kill the return on investment

Approval steps protect trust in an agent, but applied to everything they erase the time it was meant to save. Here is how to gate only the actions that need a person, and how to design the approval itself.