Production AI Workflows & Multi-Agent Blueprints

Learn how to build an autonomous deep research agent with LangGraph using iterative query expansion, Tavily web search, and cross-source token synthesis.

Build an autonomous OpenTelemetry AI tracing agent to track token spend in real time, intercept budget drift, and trigger automated model fallbacks.

Build an autonomous LangSmith agent evaluation CI/CD pipeline using GitHub Actions to detect reasoning drift and prevent breaking agent deployments.

Build an autonomous GitHub Actions CI remediation agent using AST patching to resolve failing test traces, fix syntax errors, and auto-submit clean PRs.

Build an autonomous Temporal AI workflow in Python with durable multi-agent saga orchestration, sub-80ms recovery, and zero lost state during agent loops.

Build an autonomous semantic router agent with FastEmbed to achieve sub-15ms intent gating and cut agent classification token spend by 82% in production.

Build an autonomous LlamaIndex event-driven workflow with async step handlers to achieve sub-60ms routing and cut token execution waste by 58% in swarms.

Build an autonomous Docling document parsing agent using multi-modal layout analysis to convert complex PDF tables into clean Markdown with sub-400ms latency.

Build an autonomous Crawl4AI web scraping agent to extract clean markdown at sub-80ms speeds and slash RAG token preprocessing costs by 64% in swarms.

Build an autonomous Grafana On-Call remediation agent with Prometheus alert triaging to resolve incident tickets and reduce MTTR by 74% in cloud swarms.

Build an autonomous ClickHouse anomaly detection agent using vector log clustering to isolate production incidents and cut triage latency by 86% in swarms.

Build an autonomous OpenSearch neural search agent to orchestrate hybrid BM25 and dense vector retrieval with reciprocal rank fusion for enterprise swarms.