Prompt and Context Design for Grounded Claude Answers
What to include and exclude in Claude's context when grounding answers with citations — curation, ordering, contracts, and caching that improve provenance.
7 min read
Agentic AI & LLMs
Agentic AI & LLMs archive page 593 of 631
Agentic AI & LLMs
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
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Wiring MCP Tools Into Grounded Claude Answers
Connect MCP servers as evidence for cited Claude answers: auth at the boundary, strict schemas, three-state errors, and idempotent reads.
8 min read
Reusable Patterns for Grounding Claude With Citations
Code-level patterns for grounding Claude answers: a provenance type, titled document blocks, no-answer contracts, and separated verification calls.
7 min read
Build a Cited Claude RAG App: Step-by-Step Guide
A copy-pasteable guide to wiring Claude's Citations API into a retrieval app: request shape, response parsing, span mapping, and verification.
7 min read
How Citation Grounding Works Inside a Claude Agent
Inside the architecture of grounding Claude answers with citations: retrieval, document blocks, the Citations API, span offsets, and verification.
8 min read
AI Agent Orchestration with Event-Driven Architectures
Learn how event-driven architectures using message queues and event buses enable scalable, decoupled AI agent orchestration for complex multi-agent production systems.
5 min read
AI Pair Programming in Practice: Productivity Gains Measured
Real productivity data from teams using Claude -- what actually improves, what does not, and how to maximize gains.
9 min read
Building a Code Review Bot with the Claude API
Step-by-step guide to building an automated code review bot using the Claude API. Covers GitHub integration, diff analysis, security scanning, style enforcement, and delivering actionable feedback on pull requests.
6 min read
Cambridge Research: Agentic AI for Advanced HVAC Building Control
Cambridge University research demonstrates agentic AI frameworks for real-time HVAC optimization. See how office-in-the-loop control systems work.
8 min read