Guided example

Start here to understand the structure and the “threads → merge → checkpoint” model.

Workflow

AutoWeave thread merge diagram
Async inputs Merge points Checkpoints Clean outputs

Tip: once you see the “clean” baseline, it’s easier to understand where human checkpoints are required: renames, duplicates, ambiguous categories, and edge cases.

Inputs

Try sample AutoTrac exports: time csv, income csv, project csv.

Interactive workbench

AutoWeave applies structured trims, contextual merge logic, and controlled checkpoints on the backend — returning a clean preview and downloadable output.

Upload your business data after logging in or creating an account — we protect your privacy. Or explore the platform using our sample datasets (time csv, income csv, project csv) without signing in.

Build

Inputs, trims and merges preloaded samples or your own files

Time

Income

Project (optional)

See

Preview, stats, and visualisations

Preview

Quick stats

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Visualisations

Range
Group
Mode

Use cases

Correctness depends on context.

AutoWeave makes that context structured, transparent, and repeatable.

Example workflows include POS exports with bank statements, operational logs, CRM extracts, supplier feeds, and any data process where edge cases require contextual resolution with documented rationale.