Alpesh Kumar
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Monthly: July 2026

Home/2026/July
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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Vector Quantisation: How Code Books Compress Similar Data — an illustrated flow of many similar input vectors being matched to a small numbered code book, then represented by one compact index to show lossy shared-dictionary compression.
Machine Learning

Vector Quantisation: How Code Books Compress Similar Data

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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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TurboVec: What This Rust Vector Index Is and How to Evaluate It — a dark technical illustration shows a glowing field of connected vector points compressing into an organized geometric index as a bright query path selects nearby vectors, representing evaluation of compressed vector retrieval.
Artificial Intelligence, Python

TurboVec: What This Rust Vector Index Is and How to Evaluate It

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Recent Posts

  • LangGraph Persistence Tutorial: Checkpoint and Resume Multi-Agent Workflows
  • AI Product Development: Prototypes Are Cheap, Judgment Is Not
  • LangGraph Routing and Parallel Execution: Send Tasks to the Right Agents
  • LangGraph Shared State Tutorial: Control Context in Multi-Agent Systems
  • Python 3.15 Is Almost Here: 7 Features Developers Should Know

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“ Design is not just what it looks like and feels like. Design is how it works. “

Alpesh Kumar

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