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Glass architectural forms joined on one platform illustrate the integration of a B2B portal's components.

All the pieces together: the architecture of a web project with AI agents

An exemplary B2B portal connects infrastructure, AI agents, shared memory, security, CI/CD and operations into a coherent project.

SEO for AI: how to make your content easy to find, understand and cite

SEO for AI, AEO and GEO: verifiable content, indexing, structured data and measurement, without guarantees of citation.

Can an AI agent use your website? A practical audit

Agentic readiness audit for the website: rendered content, semantic structure, forms, errors, and action confirmation.

Beyond “state of the art”: how do we test a programming agent

How we evaluate a coding agent beyond benchmarks: real tasks, regressions, review, and accepted results.

What's happening in production? Observability for applications and AI agents

Observability for applications and AI agents: logs, metrics, traces, useful alerts, and error diagnostics without data exposure.

Project management with AI agents: from goals to verifiable tasks

Project management with AI agents: objectives, tasks, dependencies, responsibilities, and evidence for deliverable acceptance.

Virtual routers and separate networks: how to limit the impact of an incident

Virtual routers, VLANs, and firewalls: how we separate applications, data, administration, and agents in a network with controlled access.

Virtual machines, containers, or Kubernetes: how much infrastructure do we need?

Virtual machines, containers, and Kubernetes explained with a practical example, including criteria for isolation, operation, and scaling.

On-premises, cloud, or hybrid? Where do we build the next project?

On-prem, cloud or hybrid? Practical criteria for placing your application, data, and AI components, with explicit responsibilities and costs.

The 90-day adoption plan: from first pilot to a measurable agentic system

A practical six-step framework to assess, pilot, and operate an AI agent in a controlled manner, with KPIs, decision gates, governance, and stopping criteria.

How much is an AI agent worth: total cost, KPIs, and return on investment

Guide for SMEs: the total cost of an AI agent, six KPIs, real savings, and a sample ROI with three scenarios and investment payback.

When the agent buys for us: budgets, payments, and autonomy limits

Practical guide for SMEs on purchases through AI agents: budgets, approvals, payments, autonomy limits, risks, and the steps of a controlled pilot.