The LLM Evaluation Playbook Every AI Engineer Needs
Most teams ship LLM apps blind. Here’s how to build the measurement system that changes that — golden test sets, RAGAS, LLM-as-Judge, and… Continue reading on Think in AI Agents »
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Why AI Agents Need Long-Term Memory to Be Truly Useful
Why AI Agents Need Long-Term Memory to Be Truly Useful Every AI agent you've built has the same fatal flaw: amnesia . Your chatbot nails the first conversation. The user says they prefer dark mode, work in fintech, and hate verbose responses. Perfect — the agent adapts. Then the session ends, and it's all gone. Next conversation? "Hi! How can I help you today?" Like you never met. This isn't a minor UX issue. It's the single biggest gap between AI agents that feel like tools and AI agents that feel like teammates. The Cost of Forgetting Think about what happens when your agent forgets: Users repeat themselves — "I already told you I use TypeScript, not Python" Personalization resets — every session starts from zero Context is lost — multi-day workflows fall apart Trust erodes — users stop
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I was burning through AI tokens without realizing it. Here's how I fixed it.
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500,000 Deepfake Identities Expose How Investigations Fall Apart in Court
Analyzing the architectural shifts required to fight synthetic identity fraud highlights a terrifying reality for anyone building computer vision (CV) pipelines: our detection models are currently losing the arms race against generative AI. When a single platform blocks 500,000 synthetic identities in six months, it’s a signal that the traditional "liveness check" is no longer a sufficient gatekeeper. For developers working in biometrics and facial comparison, this news represents a fundamental shift in how we must handle identity verification. We are moving from a world where we simply classify an image ("Is this a human face?") to a world where we must mathematically prove a relationship between two images in a way that survives forensic scrutiny. The Math of Defensibility: Beyond Classi
5 Claude Models That Cut My Development Time by 40%
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