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Found 162 results for "Claude AI"

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Claude Tool Use: Build a Read-Only Order Lookup Loop

Define Claude tools, implement the tool-result loop, and protect reads and writes with authorization, validation, and confirmation.

https://www.tutorialslogic.com/claude-ai/tool-use

Claude Vision: Extract a Receipt Without Trusting the Upload

Work safely with Claude image and document inputs, validate uploads, and preserve source boundaries for visual analysis.

https://www.tutorialslogic.com/claude-ai/multimodal-inputs

Client Integration: Claude Desktop, Custom Clients, and Host-Side Runtime Design

Integrate MCP servers into real host applications, from Claude Desktop configuration to custom AI clients and enterprise portals.

https://www.tutorialslogic.com/mcp/client-integration

Claude Context and Prompt Caching: Keep Stable Knowledge Fast and Fresh

Use prompt caching and context selection deliberately while protecting privacy and preventing stale or conflicting information.

https://www.tutorialslogic.com/claude-ai/prompt-caching-and-context

Claude Streaming and Batches: Two Delivery Paths, One Reliable State Model

Choose streaming for interactive work, batches for asynchronous volume, and build safe cancellation and retry behavior.

https://www.tutorialslogic.com/claude-ai/streaming-and-batches

Claude Support Copilot Capstone: Ship One Feature You Can Defend

Build and evaluate an evidence-grounded support copilot that routes requests, cites policy, uses a bounded read-only tool, produces a reviewable resolution, and launches behind a safe feature flag.

https://www.tutorialslogic.com/claude-ai/support-copilot-capstone

AI Agent Architecture: Models, Tools, Planner, Runtime and Observability

Learn the internal architecture of production AI agents and how each component works together.

https://www.tutorialslogic.com/ai-agents/architecture

AI Agent Cost and Latency: Budgets, Model Routing, Caching, and Performance

Control AI agent cost and response time using step budgets, model routing, parallel tools, caching, context reduction, streaming, and production metrics.

https://www.tutorialslogic.com/ai-agents/cost-latency

AI Agent Foundations: What Agents Are and Why They Matter

Understand AI agents through their control loop, model and runtime responsibilities, tool use, state, limits, and practical selection rules.

https://www.tutorialslogic.com/ai-agents/introduction

AI Agent Guardrails and Evaluation: Testing Agents Before Production

Learn guardrails, evals, red teaming, policy checks, and practical testing methods for AI agents.

https://www.tutorialslogic.com/ai-agents/guardrails-evaluation

AI Agent Observability and Tracing: Runs, Spans, Metrics, and Debugging

Trace AI agent decisions, model calls, tools, state changes, latency, cost, errors, and user outcomes while protecting sensitive data.

https://www.tutorialslogic.com/ai-agents/observability-tracing

AI Agent Projects: Five Production-Style Builds with Architecture and Evaluation Plans

Build portfolio-ready AI agent projects with clear scope, tools, state, guardrails, datasets, evaluation criteria, and staged implementation plans.

https://www.tutorialslogic.com/ai-agents/projects

AI Agent Security and Permissions: Prompt Injection, Least Privilege, and Tool Safety

Secure AI agents against prompt injection, excessive agency, data leakage, unsafe tool calls, and cross-tenant access with layered controls.

https://www.tutorialslogic.com/ai-agents/security-and-permissions

AI Agent Tools and Actions: How Agents Safely Use APIs, Search and Code

Learn how AI agents call tools, design safe tool schemas, handle failures, and prevent dangerous actions.

https://www.tutorialslogic.com/ai-agents/tools-and-actions

AI Agents Cheat Sheet: Architecture, Tools, Memory, Security, and Production Checks

A detailed AI agents reference covering design decisions, agent loops, tools, state, RAG, planning, security, evaluation, cost, and deployment.

https://www.tutorialslogic.com/ai-agents/cheat-sheet

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