Project Labs

Build a customer support agent with MCP tools, an agentic loop, prerequisite gates, and escalation logic that handles multi-turn support conversations.

6 steps

Build a coordinator-subagent architecture for parallel research execution with provenance tracking and result aggregation.

6 steps

Integrate Claude Code into a GitHub Actions pipeline for automated code review with structured JSON output and multi-pass review.

6 steps

Build a data extraction pipeline using JSON schemas, validation-retry loops, batch processing, and human review routing for edge cases.

6 steps

Set up a complete Claude Code configuration for a development team with CLAUDE.md hierarchy, path-specific rules, skills, and MCP server configuration.

6 steps

Create a fully functional MCP server that exposes tools for interacting with a REST API, including structured error handling, pagination, and server configuration for Claude Code.

6 steps

Build a system that intelligently manages context window usage through structured extraction, progressive summarization, and priority-based content retention.

6 steps

Build a framework for systematically testing, evaluating, and iterating on prompts using the Message Batches API, with automated scoring and regression detection.

6 steps

Implement a comprehensive guardrails system for an agent using hooks, validators, and escalation policies to ensure safe operation in production.

6 steps