The AI Agent Architect @templonix

Teaching professionals how to think, build, and speak like an AI Agent Architect. 🧠 Ex-AWS | ✍️ No-hype agent education @ Substack theagentarchitect.substack.com UK Joined January 2025

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The AI Agent Architect @templonix

3 months ago

Autonomy without oversight isn’t intelligence. It’s chaos. Great agents escalate when uncertain. That’s not failure — it’s wisdom.

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The AI Agent Architect @templonix

3 months ago

Reflection isn’t a “nice to have.” It’s the moment your agent turns experience into insight. That pause? That’s where learning happens — even for machines.

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The AI Agent Architect @templonix

3 months ago

The best agent I ever built didn’t feel smart. It felt calm. It paused before acting. Checked its memory. Then did one thing, well. Every time.

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The AI Agent Architect @templonix

3 months ago

You wouldn't hire someone who forgot everything they did yesterday. So why are you building agents like that? Persistence isn’t optional. It’s the difference between a chatbot and a collaborator.

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The AI Agent Architect @templonix

3 months ago

Agents don’t get better by trying harder. They get better by remembering. And reflecting. And adjusting the plan based on what happened last time.

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The AI Agent Architect @templonix

3 months ago

Think your prompt is the problem? Maybe. But most of the time, it’s your architecture. Fix memory, fix state, fix tools — then blame the LLM.

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The AI Agent Architect @templonix

3 months ago

Want fewer hallucinations from your LLM? Try giving it less freedom and more memory. Most agents don’t need creativity — they need constraints. Boundaries are where reliability begins.

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The AI Agent Architect @templonix

3 months ago

You can’t trust an agent that can’t explain itself. Not in production. Not in regulated environments. Teach it to justify every step. Otherwise, you’ve built a very expensive black box.

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The AI Agent Architect @templonix

3 months ago

A good agent doesn’t just act. It knows why it acted — and whether it worked. That loop is what makes it intelligent. The feedback cycle is the intelligence.

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The AI Agent Architect @templonix

3 months ago

A memory system isn’t a feature. It’s the spine. Without it, the agent collapses under context-switching, repeats bad patterns, and breaks trust. Build the spine. Then train the brain.

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The AI Agent Architect @templonix

3 months ago

Your agent doesn’t need emotions. But it needs continuity. Otherwise, every task is a first date — awkward, forgetful, inefficient. Teach it to carry a past into its present.

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The AI Agent Architect @templonix

3 months ago

You want an agent to act. But more importantly — you want it to learn. That doesn’t come from API calls. It comes from structure: memory, prompts, tools, reflection.

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The AI Agent Architect @templonix

3 months ago

If your agent has no memory, it has no strategy. If it can’t reflect, it can’t grow. Good agents think before acting. Great ones think after.

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The AI Agent Architect @templonix

3 months ago

A smart agent doesn’t just store what happened. It stores the meaning of what happened. That’s how it avoids repeating mistakes. That’s how it gets smarter — not just busier.

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The AI Agent Architect @templonix

3 months ago

LLMs aren’t agents. They’re functions. Agents decide what to do next. And to do that well, they need memory, reasoning, and the ability to reflect.

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The AI Agent Architect @templonix

3 months ago

The difference between automation and agency? One follows steps. The other learns why. That “why” lives in memory. No memory? No agent. Just a loop.

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The AI Agent Architect @templonix

3 months ago

Memory doesn’t just help agents remember. It helps them care. Care about goals. Care about outcomes. Care about what came before — and what comes next.

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The AI Agent Architect @templonix

3 months ago

If your agent wakes up blank every time, it’s not autonomous. It’s just polite. A true teammate carries memory forward — and gets better with each loop.

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The AI Agent Architect @templonix

3 months ago

You don’t build intelligence by stacking prompts. You build it by creating structure. Memory. Context. Feedback. That’s what turns a chatbot into an agent. Not clever words — consistent scaffolding.

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The AI Agent Architect @templonix

3 months ago

If your agent logs what it does, but never reflects on it, you’ve built a historian — not a strategist. The value isn’t in knowing what happened. It’s in learning from it.