How to build AI Agents • Define scope
• Structure I/O
• Add tools
• Enable reasoning
• Orchestrate agents
• Add memory Smart ≠ enough
Structure + context = performance Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #BuildInPublic
TOOLS
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Checklist: How to Build AI Agents
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Optimizing Claude Code Token Usage and API Costs
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STOP BURNING YOUR TOKENS! If you use Claude Code, you are probably wasting 80% of your context window. I found 10 ace tools that will completely rescue your API bill. 1. Caveman Claude
– Literally makes Claude talk like a caveman
– Slashes 75% of output tokens with zero -
User critiques Opus for overconfident responses and cost
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I've stopped using Opus for brainstorming/strategizing, because it keeps wanting to jump to a conclusion and the end of every response. It's too confident it knows the answer every time. It makes it hard to have a back-and-forth. Also, it's too expensive vs Codex 5.5 sub.
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Building software on mobile using ChatGPT’s Codex
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you can just build things from your phone, with Codex in the ChatGPT app
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Using AI memory features to personalize code generation and output
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Memories in both ChatGPT and Codex are godsend! It allows them to contextualise and hyper specialise outputs and generations to you and your “taste” I’m often amazed by how Codex would just know tiny details of which tests to run, what commit dynamics it should follow and how to
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UX pattern for LLM tool failures and dialog integration
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Yes! There's a lot of nice UX approaches this style opens up.
For instance, if the LLM runs a bit of code that's blocked by the sandbox, we don't just show a `y/n/a(ll)` prompt, but instead stop the tool loop and insert the failed code into the dialog. -
AI tool poisoning exposes major enterprise agent security flaw
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#AI tool poisoning exposes a major flaw in enterprise agent security
by Nik Kale @VentureBeat Learn more: https://
bit.ly/48YvAHT #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning -
Claude Chrome extension token efficiency
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Have you tried the claude chrome extension? It should be significantly more token-efficient
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Use AI to Build Interactive Retirement Scenario Simulators
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One use case that is interesting is to ask it to build an interactive scenario simulator, with appropriate visualizations, so that you can explore different retirement outcomes, etc. depending on how your financial situation changes.
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Using AI agents for migration task documentation
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The goal, really? I have quite a big migration task and I was working in one thread to work out how to set it up well – e.g. the target spec, testing approach, etc. then got codex to write out docs and the goal prompt for the other agent. Then I'm periodically checking in with