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Guides for people building with AI.

Start with the RAG guides if your system retrieves the right documents and still gets answers wrong. Further down: field guides for engineers using Claude Code, Cursor, Windsurf and other AI coding assistants.

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Sep 2026 · 7 min

Why RAG still hallucinates — and what to change first

Your system finds the right documents and still gives wrong answers. How to tell retrieval failures from generation failures, why a citation can mislead, and the fixes worth trying before you change architecture.

Sep 2026 · 7 min

RAG vs Compile-Time Inference: what changes, what it costs, and when to use each

An honest side-by-side: where the work happens, who decides the answer, missing evidence, changing data and total cost — including where RAG remains the right choice.

Sep 2026 · 6 min

GraphRAG vs Compile-Time Inference: a graph connects information. What decides the answer?

What a knowledge graph improves, what it leaves unchanged, and the questions to ask any vendor — including us.

Sep 2026 · 6 min

Verificate launches Compile-Time Inference: facts first, then the decision

What launched at AI Infra Summit on 15 September 2026 — a public fact base compiled first, your records written on top, the model only phrasing the answer — with the three deployments and the Brown University evidence behind it.

Sep 2026 · 5 min

The most expensive place to do your thinking is at query time

Token prices fell a thousandfold and enterprise AI bills went up anyway. Why RAG re-derives the same corpus on every question, and what changes when the thinking moves to ingest. Craig Atkinson’s AI Infra Summit essay, in brief.

Aug 2026 · 4 min

What is an AI CI gate — and why your repo needs one

The simple guide to the category: a required check that reviews AI-written code on every pull request and blocks the merge when something is wrong. What it does, the five-line GitHub setup, and what you get.

Aug 2026 · 8 min

OpenClaw's trust problem, answered

341 malicious skills, Atomic Stealer credential theft, 13.4% of ClawHub skills carrying critical flaws. Each top OpenClaw complaint mapped Problem → Feature → Advantage → Benefit, with real Verificate verdicts catching the exact failures.

Aug 2026 · 8 min

Vibe code → production: the checklist

Your AI-built MVP demos perfectly — from Lovable, Bolt, v0 or ChatGPT. The five defect classes that kill vibe-coded launches, and the automated senior review that replaces the dev team you don't have.

Aug 2026 · 6 min

Take your Lovable app to production

Sync to GitHub, gate every change through a senior review with veto power, launch without hiring. The workflow, the standing rule, and what the gate catches in app code.

Aug 2026 · 4 min

Gate AI-written code inside ChatGPT

Developer mode lets ChatGPT call a validation gate directly. The 2-minute custom-connector setup, and the habit that makes every snippet survive review before you paste it.

Aug 2026 · 4 min

Give Manus a senior engineer

Manus builds whole products autonomously — with no review layer. Add a custom MCP server and every line it writes passes a veto-empowered gate, with catches reported back to you.

Aug 2026 · 6 min

The best MCP servers for AI code review in 2026

Linter wrappers, BYO-key relays and review gates with authority: an honest map of the code-quality shelf, and how to choose for Claude Code, Cursor or Windsurf.

Aug 2026 · 5 min

Vibe coding needs a merge gate

Vibe coding isn't the problem - merging it unreviewed is. Hard rules for Claude Code and Cursor that gate every AI-written change, with a one-paste setup prompt.

Jul 2026 · 7 min

How to catch AI-hallucinated code before it ships

Invented SDK calls, faked refund paths, mocks in the wire path — the four shapes hallucinated code takes, and the two-pass gate architecture that catches them.

Jul 2026 · 6 min

How to add a code-review gate to Claude Code with an MCP server

The five-minute setup: wire a veto-empowered validation server into Claude Code, Cursor or Windsurf, and make gating the default with a standing project rule.

Jul 2026 · 7 min

Why AI coding assistants miss deep performance bugs

N+1 storms, scalability cliffs, blocking hot paths: why self-review can't see them, and what independent review with production arithmetic looks like.

Jul 2026 · 6 min

Use smaller, cheaper AI coding models — safely

Enforce quality at review instead of assuming it at generation, and the choice of model becomes a cost decision, not a risk decision. A three-week migration path.

In the press

Coverage of the Compile-Time Inference launch.

All news, press & publications

AI Infra Summit · 15 Sep 2026
Verificate launches Compile-Time Inference: facts first, then the decision Our companion article
AI Infra Summit · by Craig Atkinson · 14 Sep 2026
The most expensive place to do your thinking is at query time Our companion article