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.

An exemplary B2B portal connects infrastructure, AI agents, shared memory, security, CI/CD and operations into a coherent project.
SEO for AI, AEO and GEO: verifiable content, indexing, structured data and measurement, without guarantees of citation.
Agentic readiness audit for the website: rendered content, semantic structure, forms, errors, and action confirmation.
How we evaluate a coding agent beyond benchmarks: real tasks, regressions, review, and accepted results.
Observability for applications and AI agents: logs, metrics, traces, useful alerts, and error diagnostics without data exposure.
Project management with AI agents: objectives, tasks, dependencies, responsibilities, and evidence for deliverable acceptance.
Virtual routers, VLANs, and firewalls: how we separate applications, data, administration, and agents in a network with controlled access.
Virtual machines, containers, and Kubernetes explained with a practical example, including criteria for isolation, operation, and scaling.
On-prem, cloud or hybrid? Practical criteria for placing your application, data, and AI components, with explicit responsibilities and costs.
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.
Guide for SMEs: the total cost of an AI agent, six KPIs, real savings, and a sample ROI with three scenarios and investment payback.
Practical guide for SMEs on purchases through AI agents: budgets, approvals, payments, autonomy limits, risks, and the steps of a controlled pilot.










