Every prompt, tested and categorized.

Find the repetitive work worth automating and rank it by value and risk.

A structured review that finds bugs, risks and maintainability issues — in priority order.

Plan a safe migration with incremental steps and rollback.

Find the real bottleneck before optimizing.

A defensive review for common vulnerabilities in your own code.

Document a technical decision with options and trade-offs.

Find why a workflow broke and how to prevent a repeat.

Understand an API and write the call, mapping and error handling.

A build-ready spec you can implement in any automation platform.

A transparent spreadsheet forecast with assumptions you can change.

Turn analysis into a clear message with the right chart choices.

Design an experiment properly and interpret results without fooling yourself.

Describe the question; get a correct, explained query and test plan.

A conservative, numbers-led proposal with payback period and care plan.

A one-page runbook your client can actually use.

Draft customer replies that use only supplied knowledge and escalate when unsure.

Generate the code step that checks AI output before any action runs.

Pull structured fields from invoices, forms or emails with nulls for unknowns.

A strict, injection-resistant classifier for inbound messages.

Turn a plain-English process into a full automation spec.

Generate a reproducible script to clean and validate a messy CSV.

Write unbiased questions and decide how you'll analyze them up front.

Choose the few metrics that drive decisions and lay them out.

A step-by-step plan to understand a dataset and answer a business question.