Review incoming workflow examples with a consistent rubric
Screen a large collection of submitted examples for clarity, evidence, and reproducibility before deeper editorial review.

A FIELD GUIDE TO AI AT WORK
Explore practical AI workflows for research: inputs, implementation steps, human checks and downloadable skills to adapt to your team.
ESSENTIALS / THREE FOUNDATIONS
Build the foundations with three practical skills.
Choose your recurring activities to build a starting set.
Screen a large collection of submitted examples for clarity, evidence, and reproducibility before deeper editorial review.
Gather preliminary information on a foreign legal question so a qualified local lawyer can verify a focused set of findings.
Collect current page screenshots and ask an assistant to identify differences worth investigating.
Use a document assistant to connect major concepts with the files and systems that explain them.
Assemble public information about a geographic area to compare competition, customer experience, and potential business opportunities.
A model-development team generated disposable web reports to share dataset examples and experiment results with colleagues. The reports supported review without changing the core training system.
An investment team used specialized research agents to examine a company from several angles, then checked the combined report against its investment criteria and gaps in the evidence.
Use focused research questions to collect market evidence and organize it into a strategy presentation.
Prototype an assistant that retrieves relevant prior studies when colleagues ask recurring research questions.
Focus research on information that could change a real business decision.
Try a broader search or save a workflow from the library.
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