Tablize

Tablize is a tool that gives AI coding agents a persistent, server side pipeline for producing and maintaining large data tables. The problem it addresses is that an agent can handle fifty rows well but loses consistency by row five thousand. Tablize keeps the state of the work on the server rather than in the agent's context, so a run can continue after a session ends. It organizes work into source, processing and consumption tables. Source rows are append only, a clean table folds duplicates, and a process table records every attempt, including model and batch details. The agent works on one leased batch at a time rather than holding the whole table. An optional golden gate lets a user supply a golden file and a hidden check, so a batch that misses is refused as a whole and every refusal remains on the record. Without a golden file the line runs with no verdict and rows land unaccepted. Tablize is installed with an npm command and paired by signing in once in the browser, and the site shows it working with Claude Code through a skill. It runs on the user's machine with their own model key, and Tablize supplies no model or runtime. It is aimed at developers and data teams who use agents to enrich, classify or extract data at scale. Pricing is currently free. During the public beta nothing is charged and no per unit price is set, and the Free tier is $0 with a shared server and quota caps and the full command line tool and agent support.