Alpesh Kumar
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Software Architecture

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AI Product Development: Prototypes Are Cheap, Judgment Is Not
Artificial Intelligence, Software Architecture

AI Product Development: Prototypes Are Cheap, Judgment Is Not

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Diagram comparing traditional API integrations with an MCP server connecting AI clients to multiple tools
AI Agents, Software Architecture

MCP vs API: What’s the Difference, and How Do They Work Together?

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Why Final-Answer Evals Leave AI Agent Failures Invisible — a warm editorial execution-trace schematic contrasts a reassuring green final-response indicator with the visible failed path beneath it: wrong tool selection, a quoted-number parameter mismatch, and a missing update state, all examined by a trajectory evaluator. Visual direction: idea: an apparently successful answer hides a failed execution path; subject: AI-agent trajectory evaluation; mechanism: evaluator compares final claim with recorded tool selection, typed arguments, missing action, and state transitions; composition: left-to-right audit strip beneath a detached green outcome capsule with an inspection bracket; palette: warm ivory, charcoal, muted sage, terracotta, ochre; exclusions: dark navy, neon-blue glow, floating UI cards, network nodes, generic AI circuitry, people, robots, logos, readable artwork text.
AI Agents, Artificial Intelligence, Software Architecture

Why Final-Answer Evals Leave AI Agent Failures Invisible

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Contextual Retrieval: Anthropic’s Approach to Reducing RAG Retrieval Failures — an abstract knowledge-retrieval scene shows incomplete document fragments gaining contextual metadata before semantic and keyword paths converge on a focused result, representing how added context reduces RAG retrieval failures.
Software Architecture

Contextual Retrieval: Anthropic’s Approach to Reducing RAG Retrieval Failures

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