1. Prepare the source
Collect raw text you already have with dates and amounts. Remove private details.
ledger sheet · free workflow
Extract high-weight ATS keywords from any job posting, score your achievement bullets, and predict interview questions in under 2 minutes.
Extracts high-weight ATS keywords locally without external paid API keys or subscription signups The result is a small object you can inspect: it carries a count, a context row, and a next action instead of asking you to trust a paragraph.
Collect raw text you already have with dates and amounts. Remove private details.
Prompt the free tool to return only JSON with this shape: {"heading":"...","metric":"...","rows":[{"label":"...","detail":"...","value":"..."}],"next":"..."}. Require "not found" when missing.
Paste same lines into board below. Companion runs locally and shows designed result without calling API.
Load a sample, replace it with your own notes, and inspect the generated object. Sample values are illustrative, not verified facts.
Loading the sample object…
Require one row per source line and check count before trusting total.
Keep evidence phrase and source-grounding request. "Not found" is useful.
Treat as routing signal, not prediction.
The free board is complete on purpose. The companion app adds a tangible file, history, or handoff only after the result is useful: clean .docx file export vs. copy-paste formatting errors
open the ledger sheet companion