Hey Product Hunt! 👋 I’m Malik Dixon, the maker of TraceLogicAI. I built TraceLogicAI because choosing an AI architecture often happens through assumptions: use RAG because it is popular, add an agent because it sounds more capable, or adopt MCP without knowing whether the added complexity solves the actual problem. TraceLogicAI makes those trade-offs visible. It runs the same question through five architectures: • Plain prompt • Retrieval-Augmented Generation • Model Context Protocol • Agent loop • Security-aware pipeline You can inspect what happened beneath each answer—including retrieved content, tool calls, citations, execution steps, token usage, latency, groundedness, cost, and safety signals. The goal is not to declare one architecture universally superior. It is to help builders choose the right architecture for the right job using measurable evidence. Security is also part of the evaluation process, not something added after deployment. The security-aware pipeline demonstrates how scoped retrieval, CWE and OWASP references, code scanning, traceability, and guardrails can influence an AI system’s behavior. TraceLogicAI is available to try now, with no credit card required. I would especially value feedback on: Which architecture comparison is most useful to you? What additional evaluation metric should I add? Would you use TraceLogicAI for education, prototyping, or architecture reviews? Thanks for checking it out and helping me improve it!

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p/tracelogicai-ai-architecture-evaluation

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19h ago

Introducing TraceLogicAI: Compare AI Architectures with Evidence

Hello, Product Hunt community!

I m Malik Dixon, a U.S. Army veteran and technology professional with more than 25 years of experience across full-stack development, AWS, DevOps, DevSecOps, UX, and AI systems.

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TraceLogicAI: AI Architecture Evaluation

Compare AI architectures with evidence, not guesswork

Compare AI architectures with evidence, not guesswork

Forum Threads

Introducing TraceLogicAI: Compare AI Architectures with Evidence

Forum Threads

Introducing TraceLogicAI: Compare AI Architectures with Evidence