Lessons from building multi-agent systems
Working notes on where agent separation helps, where it adds complexity, and how to keep AI workflows reviewable.
AgentsLLMsEvaluation
Notes and experiments
No fake long-form articles are published here. These are visible writing topics and working notes that will become more complete over time.
Working notes on where agent separation helps, where it adds complexity, and how to keep AI workflows reviewable.
A short reflection from TalentAI-X on evidence, context, skills, and explainability in candidate evaluation.
Notes on scope, teamwork, demos, and trade-offs from hackathon projects like AssetFlow and TalentAI-X.