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Most AI agents produce slop because everyone's obsessing over which LLM is smartest. That's the wrong fight. In 2026, the agents that actually feel useful, personalised, and sharp are the ones built on a proper context and memory infrastructure. The model is almost irrelevant. In this video I break down the exact architecture I run for my own agents at Trigify, covering the two context layers (internal + external), the raw-to-memory pipeline, the belief check system, and how skills sit on top of all of it. If your AI output feels generic, it's not the LLM. It's the layer underneath it. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CHAPTERS 0:00 Why your agent feels like slop 0:36 The 2026 thesis: LLMs don't matter, context does 1:07 Internal vs external context 1:57 Tools I plug into the internal layer 2:04 Why social is the best external signal 2:48 Capacities + Obsidian-style memory system 3:03 Raw data → synthesised memory (the cron layer) 4:44 What this unlocks (content OS, AISDR, automations) 5:35 Signal to learning loop: social → long-form research 6:37 The belief check system (raw → belief → memory) 7:33 Skills sit on top of the whole stack 8:13 How to copy this setup for your own agent ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TOOLS I USE IN THIS SETUP Agent frameworks • Hermes / OpenClaw / Claude Code Internal context • HubSpot, Notion, Slack, Gmail • Granola (meetings) • Fireflies (calls) • Featurebase (product feedback) External context • Trigify → https://trigify.io (unified social + news signal API) Memory layer • Obsidian + capacities-style wiki • Daily/twice-daily cron to synthesise raw into structured memory ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PROMPTS MENTIONED Drop these straight into your agent. 🧠 Memory system setup prompt → https://www.notion.so/Prompts-Memory-Context-System-from-the-YouTube-video-36d606a5520e81e0a3f3f97862d50b70 🛠️ Context infrastructure prompt (mirror of my setup) → https://www.notion.so/Prompts-Memory-Context-System-from-the-YouTube-video-36d606a5520e81e0a3f3f97862d50b70 Plug your tools in, paste these prompts, and your agent will do the heavy lifting from there. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Follow along X → https://x.com/maximusmitcham LinkedIn → https://linkedin.com/in/maxmitcham Trigify → https://trigify.io If you found this useful, subscribe. I'm putting out the full content OS build next, plus the AISDR deep dive. #AIAgents #ClaudeCode #Hermes #ContextEngineering #AIMemory #LLM #AIInfrastructure #Trigify #FounderTools

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