Three Lessons from an AI Makeathon I recently participated in a makeathon focused on building AI-powered applications. Over 2–3 intense days, I watched teams go from idea to demo — and the patterns that separated working products from frustrated debugging sessions were remarkably consistent, especially for teams building AI agents. From this makeathon and from my experience working with teams building AI applications and agents, here are the three lessons I took away on how to build reliable AI applications by engineering around non-determinism.
Discovery
Learnings
- auto_storiesStories
- categoryAreas
- helpFAQ
- forumConversations
- descriptionPapers
- mailNewsletters
- video_libraryVideos
- timelineTimeline
Guidance
- codeTechnology of APIs
- business_centerBusiness of APIs
- campaignEvangelism of APIs
- gavelGovernance of APIs
- historyHistory of APIs
- account_balancePolitics of APIs
Toolbox
- domainProviders
- apiAPIs
- cloudSolutions
- buildTools
- verifiedStandards
- gavelRegulations
- horizontal_ruleHeaders
- layersOverlays
- extensionExtensions
- schemaSchema
- policyPolicies
- ruleRules