One source of truth for your team's AI context
Your AI tools are working from different instructions.
Claude, Cursor, and Codex each read their own files, and they drift, bloat, and go stale. Veriova keeps your organization's AI context in one place: generated for every tool, synced across repos, and audited.
Generated for every tool
Works across your stack
One
Source of truth
Every tool
Synced across
Every change
Audited
What lives in Veriova
One context layer your whole team and every tool share.
Instead of instructions scattered across files, repos, Slack, and people's heads, Veriova holds four things in one place, then feeds them to every AI tool your team uses.
Context
The decisions, conventions, and project reality your team keeps re-explaining to every AI tool.
Rules
Your production standards in one place, so every tool and teammate works to the same bar.
Skills
Reusable procedures for repeated tasks, so nobody rebuilds the same prompt flow twice.
Tooling
CLAUDE.md, Cursor rules, and MCP setup generated from that one source, never hand-maintained per tool.
How it works
Capture once. Sync everywhere. See what AI did.
Capture your context once
Put the rules, decisions, and conventions your team keeps re-explaining to AI into one shared place.
Generate and sync for every tool
Veriova produces the CLAUDE.md, Cursor rules, and MCP setup from that source, and keeps them in sync across tools and repos so nothing drifts.
See what AI did
Every change is grounded in your rules and recorded in an audit trail, so you always know what AI did and why.
Generated for every tool
One source, every tool's format
Veriova generates and syncs the instruction file each tool reads, plus the engineering handoff, from your single source of truth. No more hand-maintaining five copies that drift apart.
What changes
AI setup becomes shared infrastructure.
The value is not more prompts. The value is a predictable team baseline that survives across tools, teammates, and future sessions.
Shared team baseline
Every workflow run starts from the same project setup instead of whoever wrote the best prompt last week.
Cross-tool consistency
Claude, Codex, Cursor, ChatGPT, and MCP clients can inherit the same operating context.
Less drift
Workflows and handoffs stay connected to the same standards, context, and tooling baseline.
Noise control
Scan real AI instructions without drowning in generated files.
ctxlint now lets teams exclude generated or temporary context paths with repeatable ignore patterns. That keeps local and CI reports useful in large repos.
Ignore generated context
Exclude generated bundles, test fixtures, and scratch folders so the report stays focused on the instructions people actually maintain.
npx @veriova/ctxlint --ignore generated/contextRepeat patterns in CI
Add more than one ignore pattern when a monorepo has generated context in several places, while keeping root AGENTS.md and CLAUDE.md files in scope.
npx @veriova/ctxlint --github --ignore tmp/ai --ignore generatedScan the useful signal
Keep developer attention on stale, drifting, bloated, or missing context instead of making teams triage noise from build output.
npx @veriova/ctxlint . --markdown > ctxlint-report.mdBlock warning drift
Turn warnings into a failing CI signal when context risk should stop a merge, while still using ignore patterns for generated files.
npx @veriova/ctxlint --github --fail-on-warn --ignore .nextShow the merge owner why it failed
Pair strict warning gates with GitHub annotations so a reviewer sees the exact context file, rule, and next fix before approving a merge.
npx @veriova/ctxlint --github --fail-on-warnKeep local experiments out
Ignore scratch agent folders while keeping the committed team instructions visible to reviewers and release checks.
npx @veriova/ctxlint --github --ignore research/agentsTrusted by teams building with AI
Real teams keep their AI context in Veriova.
Arkifi
Ubriot
Sorelia
Zentygo“Veriova became the single place our AI context lives. Every tool our team uses now starts from the same source of truth instead of drifting, and we can see exactly what changed and why. It quietly removed a whole class of mistakes.”
“Our AI tools kept drifting across repos. Veriova gave us one source of truth every assistant inherits, plus an audit trail when something changes.”
Get started
Scan your repo free. Then put your whole team on one source of truth.
Run npx @veriova/ctxlint to see where your AI context is drifting today, free. When you want to fix it across the team, sign up and let Veriova hold the source of truth for every tool.