OpenDB AIAI Workflow for Tables (Excel, CSV, JSON)

OpenDB turns static tables into an AI workflow, an AI table workflow, and an AI agent data workflow for collection, review, AI batch processing, and repeatable AI loop operations.

AI table workflow from static tables

AI table workflow

Import CSV, Excel, JSON, and structured files into an AI table workflow. Fields, filters, detail sidebars, processing status, and review state keep the AI workflow organized.

AI agent data collection

AI agent

Run an AI agent around each company, website, product, or object row. The AI agent data workflow fills websites, summaries, pricing, categories, and source links.

AI batch processing

Use AI batch processing to generate tags, scores, summaries, and reasoning from field rules, then write results back into the AI table workflow.

AI loop analysis

AI loop

Filter, group, compare, and analyze local projects while each AI loop uses only the necessary fields for interpretation and next actions.

AI table workflow without code

Users maintain rows, fields, and review rules while OpenDB turns the table into an AI workflow. The AI table workflow keeps each AI loop tied to visible data state instead of hidden scripts.

AI agent data workflow with human review

Each AI agent can collect, label, analyze, and write results back to the table. Human review guides the AI agent data workflow so AI batch processing stays inspectable and repeatable.

Local context for every AI workflow

OpenDB keeps table data local and sends only necessary context for each AI workflow step. The AI agent data workflow avoids black-box processing of whole datasets.

Data Converter

Data converter

Open data converter

Use the browser-based table converter for CSV, XLSX, XML, JSON, JSONL, TSV, YAML, and QBO. Lightweight conversions can be completed online.

CSV to XLSX CSV to XML CSV to JSON CSV to JSONL CSV to TSV CSV to YAML CSV to QBO XLSX to CSV JSON to CSV XLSX to JSON JSONL to CSV TSV to JSON YAML to JSON XML to CSV

FAQ

OpenDB is centered on local projects, so table data stays in your local workspace. Each AI workflow step only sends the fields or task context required for the AI agent data workflow.

The web table converter supports CSV, XLSX, XML, JSON, JSONL, TSV, YAML, and QBO. The client workspace builds an AI table workflow from structured data for filtering, review, and AI batch processing.

An AI agent collects missing information around each row, generates tags and summaries, supports AI batch processing, and keeps every AI loop tied to reviewable table data.

No. OpenDB is designed around tables, fields, views, review status, and task rules, so users maintain an AI workflow and AI table workflow instead of writing scripts.

The table converter prepares structured files for an AI workflow. OpenDB then turns those tables into an AI table workflow that can be assigned to an AI agent.

Start with row-based AI agent data: one company, website, product, lead, app, document, or object per row. OpenDB turns that table into an AI agent data workflow where each AI agent can collect missing fields, enrich records, label rows, and write structured results back for review.

Import a table, define the fields that matter, choose the review rules, and run the first AI loop. OpenDB uses the table state to drive the AI workflow, so AI batch processing can repeat only on rows that need collection, labeling, analysis, or correction.

OpenDB is most precise for repeatable table work: dataset enrichment, website or product research, lead qualification, category tagging, scoring, summaries, QA review, and AI batch processing where every AI agent action should map back to a row and field.