[Ep 062] Signal, Sort, Store: The Discipline Behind Smart Agents

You have dreamed up a dozen things an AI agent could do for you, but the moment you open it, it feels like a stranger who has never met you. In this kickoff to the agentic operating system mini-series, 𝗚𝗮𝘃𝗶𝗻 𝗙𝗿𝗮𝗻𝗸𝗹𝗶𝗻 and 𝗧𝗶𝗺 𝗛𝗮𝗿𝘁𝗶𝗻𝗴 break down the first pillar - the signal layer and context management - so your agent starts acting like it actually knows you and your work.𝗪𝗵𝗮𝘁 𝘆𝗼𝘂’𝗹𝗹 𝗹𝗲𝗮𝗿𝗻:What a “signal” really is, and the three ways to pull one: structured skills, on-demand chat, and scheduled runsThe four tiers every incoming signal should sort into: transient, durable fact, project, and archiveHow the Common Operating Picture (borrowed from the military) gives an agent and a human the same current-state viewWhere to keep humans in the loop: what an agent may propose versus what it can write freelyWhy you should treat every wrong answer as a bug in the system, not a one-off correction𝗪𝗵𝗼 𝗶𝘁’𝘀 𝗳𝗼𝗿:Engineering leaders, architects, and AI-curious operators who want agents that stay useful past week two - and past month six.𝗚𝘂𝗲𝘀𝘁 + 𝗰𝗿𝗲𝗱𝗶𝗯𝗶𝗹𝗶𝘁𝘆:𝗧𝗶𝗺 𝗛𝗮𝗿𝘁𝗶𝗻𝗴, COO of 𝗖𝗶𝗿𝗿𝗶𝘂𝘀 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀, and 𝗚𝗮𝘃𝗶𝗻 𝗙𝗿𝗮𝗻𝗸𝗹𝗶𝗻, Head of Custom Development, build and deploy agentic systems at Cirrius, both internally and for customers. Everything here is drawn from operating systems they have actually rolled out across teams using harnesses like Claude Code, Codex, and Cursor.𝗣𝗿𝗶𝗺𝗮𝗿𝘆 𝗖𝗧𝗔:In the middle of building your own agentic operating system and hitting walls? Reach out and let’s talk it through. Follow the show for more 𝗖𝗶𝗿𝗿𝗶𝘂𝘀 𝗧𝗮𝗹𝗸: 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 episodes.𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗲𝗱 𝗟𝗶𝗻𝗸𝘀 & 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀Episode ArtifactPARA Method by Tiago ForteTim Harting on LinkedInGavin Franklin on LinkedInGreg Banks on LinkedInJason Fowler MusicCirrius SolutionsAgentic AI PlaylistAny Questions: Reach out to us at [email protected]#AgenticAI #ContextEngineering #AIAgents #ClaudeCode #KnowledgeManagement #AIStrategy