Uploaded December 2025 | Updated September 2026, 2 weeks ago
Managing context is one of the hardest problems in complex, agentic AI systems. In this video, I share practical techniques that actually work: start with a manual dry run in ChatGPT or Gemini, then ask the model to reverse-engineer the ideal prompt that would have produced the result. Learn why letting LLMs help design better prompts reduces hallucinations, how to transform human-language outputs into agent-ready structured inputs, and how selective context injection (toggling what agents see) improves performance.
#AgenticAI #LLM #ContextManagement #MultiAgentSystems #PromptEngineering #AIEngineering #GenAI #ArtificialIntelligence
Managing context is one of the hardest problems in complex, agentic AI systems. In this video, I share practical techniques that actually work: start with a manual dry run in ChatGPT or Gemini, then ask the model to reverse-engineer the ideal prompt that would have produced the result. Learn why letting LLMs help design better prompts reduces hallucinations, how to transform human-language outputs into agent-ready structured inputs, and how selective context injection (toggling what agents see) improves performance.
#AgenticAI #LLM #ContextManagement #MultiAgentSystems #PromptEngineering #AIEngineering #GenAI #ArtificialIntelligence










