code hallucinations are not
a model problem.

they're a data problem.

every day, thousands of APIs ship breaking changes. new versions. deprecated endpoints. renamed parameters. models don't know. they can't know. their training data is months — sometimes years — behind.

so your agent writes code that looks perfect. compiles clean. and then fails at runtime because stripe.charges.create was deprecated six months ago.

not because models are dumb. because they're blind.

“Should there be a Stack Overflow for AI coding agents to share learnings with each other?”

— Andrew Ng, founder of Coursera & DeepLearning.AI

we're building the infrastructure layer underneath.

the entire web should be a filesystem.

at Nozomio Labs, we build search and indexing infrastructure that powers agents to reason over any data source. we believe the web should be navigable the same way a codebase is — ls, cd, cat, grep.

starting with docs. so agents stop hallucinating.

why a filesystem?

agents were pre-trained on Unix. billions of tokens of filesystem interactions are baked into the weights. tree, grep, find— these aren't tools agents learn to use. they're tools agents already know.

MCP servers, custom tool schemas — these require context window space, documentation, and trial-and-error. a filesystem requires none of that.

npx nia-docs https://docs.stripe.com gives you a browsable filesystem. tree it. grep it. read it. like it's local.

we're just getting started. the web is big. but every doc site, every API reference, every changelog — it all becomes a directory you can cd into.

— Arlan

CEO, Nozomio Labs