AI Reality Check / Architecture Review
A blunt review of your proposed AI system, RAG workflow, vendor plan, or architecture before you fund the wrong thing.
Paid strategic AI advisory only
I don’t build AI systems anymore. I tell you exactly where yours will break.
Before you spend six figures proving the wrong assumption was wrong, book a paid consultation with a senior AI engineer who has spent 20+ years around full-stack systems, private AI, RAG, agents, and real production failures.
I no longer take on implementation or building projects. I only offer paid consultations and strategic advisory.
Founder profile
American senior AI engineer. US corporation. Italian operating base.
20+ years across full-stack development and production-grade AI systems.
Private/on-prem AI, RAG pipelines, agentic systems, deployment scars, European privacy reality.
Now: paid consultations and high-level strategic advisory only.
Founder-led advisory for teams that need experienced judgment before committing budget, vendors, or roadmap promises.
The reality check
Most AI projects waste money because nobody says the quiet part early enough.
What I tell my consulting clients: the model is rarely the whole problem. The expensive failures usually hide in permissions, data quality, retrieval design, evaluation, vendor lock-in, and operational ownership.
RAG pipelines that retrieve the wrong document with total confidence.
Agents that can take actions but have no approval model, cost control, or audit trail.
Private AI plans that ignore data residency, identity, logging, and vendor subprocessors.
Executive roadmaps where every hard production question is postponed until after budget approval.
What I actually do — and what I don’t
Paid advisory for serious AI decisions. Not a disguised dev-shop pitch.
I help founders, executives, and technical leaders pressure-test AI plans before they turn into expensive messes. You get direct senior judgment, written takeaways where useful, and clear next decisions for your internal team or chosen vendor.
Production Readiness & Risk Audit
Identify reliability, privacy, observability, access-control, evaluation, and operational risks that usually appear after launch.
European Data Privacy & Cross-Border AI Advisory
Practical guidance for US companies navigating European privacy expectations, data transfer choices, and remote operations reality.
Custom-Scoped Strategic Advisory
Focused advisory for leadership teams that need senior AI judgment, vendor diligence, roadmap pressure-testing, or board-level clarity.
Hard boundary:
I no longer take on implementation or building projects. I only offer paid consultations and strategic advisory. No coding engagements, no deployments, no delivery teams, no interim or fractional CTO roles, no team augmentation, and no ongoing execution.
Field notes / insights
What I tell consulting clients before money gets lit on fire.
AI Reality Checks
Your RAG system is probably a search problem wearing an AI costume
What I tell consulting clients before they spend months blaming the model for retrieval, permissions, and content-quality failures.
5 min read · Book a consultation if this sounds familiar →
AI Reality Checks
Agents need guardrails, not motivational posters
Agentic workflows can be useful, but only when the boring control plane exists first.
4 min read · Book a consultation if this sounds familiar →
Production AI
Production AI in 2026 is mostly plumbing. Sorry.
The model matters, but the system around it usually decides whether the project survives contact with reality.
6 min read · Book a consultation if this sounds familiar →
The European Angle
Running US AI work from Europe changes the privacy conversation
What US companies routinely underestimate about GDPR, data transfers, vendor choices, and operational reality.
5 min read · Book a consultation if this sounds familiar →
Founder Life in Italy
A US AI company, an Italian base, and fewer wasted meetings
The operating rhythm behind Hive AI: American company, European vantage point, and advisory work without pretending to be a dev shop.
3 min read · Book a consultation if this sounds familiar →
Production AI
Before you hire an AI vendor, make them answer these questions
A short diligence checklist for leaders who do not want to buy a shiny demo and inherit a maintenance grenade.
4 min read · Book a consultation if this sounds familiar →
Proof from the trenches
Twenty years of scars beat a hundred hype decks.
I came up through full-stack software and production AI work: private and on-prem deployments, RAG systems, agentic workflows, backend infrastructure, and the unglamorous operational details that decide whether AI helps or humiliates you.
Hive AI is now deliberately narrow. I advise. I review. I pressure-test. I tell you when the plan is brittle, when the vendor answer is evasive, and when the supposedly innovative idea is just a maintenance grenade with better branding.
I no longer take on implementation or building projects. I only offer paid consultations and strategic advisory.
Italy / US operator
Running a US AI corporation from Italy keeps the advice practical.
The Italy / digital nomad angle is not lifestyle fluff. It gives me daily exposure to the friction US AI companies hit when European privacy expectations, cross-border operations, vendor contracts, and remote execution collide with ambitious product plans.
That vantage point makes the consultations sharper: American urgency, European caution, and enough engineering scar tissue to know when both sides are being ridiculous.
How to work with me
Book a paid consultation. Get the hard truths before the budget gets wasted.
Use the intake form to send the context, then I will route serious fits toward a paid consultation. Come ready with the architecture, vendor proposal, roadmap, or risk question. If the issue needs a custom advisory package, we scope that after the first paid conversation.
Consultation intake
Request a paid advisory consultation
Use this for serious paid advisory inquiries: architecture reviews, production risk, RAG or agent reality checks, European privacy questions, and vendor diligence.
I no longer take on implementation or building projects. I only offer paid consultations and strategic advisory.
Boundary reminder: advisory only. No implementation handoff. No quote for building. No “can you just code the first version?” conversations.