Blog
104 articles
Best practices for workplace AI prompting in real team workflows
Discover workplace AI prompting best practices for real team workflows, with clear inputs, context, review steps, and reusable prompts that stick.
7 real-work hackathon anti-patterns for HR and ops teams
Real work hackathon challenges help HR and ops teams avoid vague themes, surface usable ideas, and turn internal hackathons into workflow change.
The definitive guide to a skills interview for AI roles
A practical guide to a skills interview for AI roles: How to test real AI work, score candidates fairly, and spot genuine hands-on ability.
Top 7 AI champion discovery approaches compared for enterprise teams, 2026: A decision matrix
AI champion discovery for enterprise teams: Compare seven methods to identify real internal AI champions using evidence, context, and interviews.
How to screen AI builders without relying on polished demos
AI builder screening should test how candidates reason through constraints, tradeoffs, and failure modes, not how polished their demo looks.
AI adoption briefing: The complete guide for managers and team leads
An AI adoption briefing for managers and team leads: Learn how to measure real workflow change, spot shallow use, and drive lasting adoption.
Getting started with how to collect feedback and evaluate hackathon outcomes for corporate teams: A beginner-friendly way to measure whether corporate hackathons produced useful outcomes
Learn how to collect feedback and evaluate hackathon outcomes for corporate teams so you can see what changed, what stuck, and what to improve next.
How to integrate AI into coding for engineering teams without slowing delivery: Developer workflow integration that keeps AI useful without adding friction to shipping
Integrating AI into coding works best when it fits real engineering workflows, reduces friction, and speeds delivery without disrupting shipping.
The AI talent network checklist for hiring and partnerships: A practical checklist for screening AI talent and partner candidates by evidence of real building.
Der AI-Talent-Network-Check hilft beim Screening von Kandidaten und Partnern anhand harter Belege für echtes Bauen, nicht nur guter Worte.
Getting started with post hackathon implementation for corporate teams: A beginner-friendly guide to turning hackathon prototypes into pilots that teams can actually adopt.
Post-hackathon implementation helps corporate teams turn hackathon prototypes into small, governed pilots that fit one workflow and get adopted.
AI adoption workshops for teams: The complete guide: A complete guide to workshops that connect governance, compliance, and real team workflows.
AI adoption workshops for teams turn governance and compliance into practical workflow changes, using real tasks to drive adoption that sticks.
The science behind evidence based hiring: Explain why evidence-based hiring is better at separating real builders from people who only talk about AI.
Evidence-based hiring separates real AI builders from polished talkers by testing actual behavior, proof of work, and hands-on capability.