# Tablize

> Tablize is a production line for the columns your data never had: a coding
> agent grows them a batch at a time, results land as real columns downstream
> tools can join and filter, and one ledger records how every value was
> accepted. The pipeline's state lives on a server, not in a model's context,
> so the work survives the session that started it.

## Product

- [Overview](https://tablize.com/): what the line does, an install block, and a recorded real run
- [How it works](https://tablize.com/how/): the full argument — two dead ends, the governed edge, three gate modes, and the honest boundary
- [Sign in](https://app.tablize.com/login)

## Guides

- [AI data pipeline](https://tablize.com/ai-data-pipeline/): what it is, the five stages, where the state has to live, and a build checklist
- [Data extraction](https://tablize.com/data-extraction/): the four tool families, a decision path, and the acceptance accounting comparisons skip
- [LLM data extraction](https://tablize.com/llm-data-extraction/): failure modes, pull-based batches, the golden gate's three modes, the attempt ledger
- [Structured data extraction](https://tablize.com/structured-data-extraction/): schema as contract, what JSON mode does and doesn't guarantee, declared checks
- [Data enrichment](https://tablize.com/data-enrichment/): lookup vs judgement, the tool landscape, why enriched is not the same as trusted
- [AI data cleaning](https://tablize.com/ai-data-cleaning/): what rules should clean vs what a model should, five patterns, verification
- [AI web scraping](https://tablize.com/ai-web-scraping/): the three modes, why scrapers break, what has to happen after the scrape
- [All guides](https://tablize.com/guides/)

## Free tools

- [Data tools](https://tablize.com/tools/): free CSV dashboards, templates and small data utilities