From a business question to a result you can check
These written walkthroughs show the decisions at each stage: what to connect, what to review, when to execute and how to judge the result.
Follow one complete workflow
- Choose a question
- Start with a bounded question such as which orders may arrive late. Name the records, cutoff and result you will check.
- Connect the records
- Install a source capability or upload a small dataset. Define endpoints for the concrete tables or files, then verify an actual read.
- Review the workflow
- Ask the assistant to draft a pipeline. Inspect its sources, transformations, identities and output target. Validate configuration and save a version.
- Run and inspect
- Execute separately. Follow the run and its steps, then compare the output with known records and inspect its evidence.
- Evaluate predictions
- For a forward-looking question, publish an evidence query and configure a forecaster. Record observed outcomes at the evaluation date and inspect measured results.
- Improve deliberately
- Review errors and corrections, change the relevant data, query or instructions, and compare a new version on a bounded task.
Choose a practical guide
Connect a source and run a first pipeline
Use your own data to verify a saved workflow and its output before scheduling recurring work.
Read Postgres and deliver a file to S3
Configure source and destination endpoints, inspect write permissions, and verify the delivered object.
Build and evaluate a demand forecast
Hold out observed demand, preserve evidence cutoffs, and measure numeric forecast error.
Ask from Claude, ChatGPT or Codex
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Bring a checkable first question
Choose a small set of records and one decision your team already makes. Bring the expected output, a few known exceptions and the people who can judge the answer. We can discuss which source, workflow and evaluation checks fit that task.
Discuss your workflow