How to build AI agents from scratch (9 steps): 1. Purpose & scope 2. I/O schemas 3. System instructions 4. Reasoning + tools 5. Multi-agent orchestration 6. Memory & context 7. Multimodal 8. Structured outputs 9. UI / API Ship agents that do work, not just talk.
AGENTS
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AI Agents: Reasoning, Planning, and Tool Use for Goal Achievement
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AI Agent = AI that reasons + plans + uses tools + acts to hit a goal.
Loop: goal → sense → plan → tool use → act → eval → memory → improve. Core parts: system prompt, tools/APIs, short- & long-term memory, adaptive traits. Shift: chatbots give answers; agents deliver -
Goodbot3: Proactive AI Gaming Assistant with Expert Advice
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I have totally different vision for Goodbot3. It should be pro-active assistant, who understand your game context, and can give you good advice, like an experienced player/friend. Our old Goodbot was nothing like this, that was old AI 🙂
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Agent stacks outperform single models
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Banger thread. Single-model supremacy is dead – the real alpha is in these purpose-built agent stacks that actually ship value instead of just flexing parameter counts. MoE routing + hierarchical planning + action-oriented LAMs is the stack that's quietly eating the world right
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Using Opus 4.5 with Supabase MCP for advanced agentic workflows
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Opus 4.5 avec le MCP supabase c’est le niveau ultime
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FSD now safer and smoother than human driving
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And FSD now is way safer than letting a human drive. Certainly is way smoother.
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Using Codex Parallel Instances for Task Automation
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there are few ways to go about it but I think the easiest would be to just activate background terminal (experimental) and just ask codex to spin up parallel instances to solve your task/ list of tasks
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Abacus AI Supercharges Deep Agent to Automate Enterprise Tasks
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USE AI FOR EVERYTHING We will be super charging Abacus AI’s Deep Agent in the New Year We will be combining the best tools with the best AI models available The goal will be to automate all the routine tasks for enterprises and professionals Stay tuned!
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Rise of Chief Question Officer Managing AI Agent Fleets
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Thanks to AI, the job of more and more people will be to manage a fleet of AI agents by posing the right questions to them and evaluating their performance. Call it the rise of the CQO, the "Chief Question Officer".
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Boris Highlights Compound Engineering Approach with AI Agents
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so fun to see Boris from Claude Code shout out compound engineering by @kieranklaassen and me check out his thread read our overview here: https://
every.to/chain-of-thoug
ht/compound-engineering-how-every-codes-with-agents
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