Blueprint of AI
Blueprint of AI
Downloadable Assets & Prompts

Developer Resource Libraries

Free copyable prompts, vector databases index matrices, and career blueprints designed to augment your development workflows.

prompt

XML Parser Structuring Prompt

Force LLMs to return strict XML tags suitable for code parsing, avoiding markdown wrappers.

prompt

Multi-Agent Reflection Prompt

System instructions for verification nodes checking tasks outputs before transitioning states.

cheat-sheet

Token Caching optimization metrics

Rules of thumb to configure caching for Anthropic Prompt Caching and OpenAI's semantic caches.

  • Cache system instructions and tool definitions
  • Set cache checkpoints on RAG context chunks
  • Keep user conversational state un-cached
cheat-sheet

Vector DB Choice Matrix

Choose between pgvector, Pinecone, Qdrant, and Milvus based on latency and document scales.

  • pgvector: Best for metadata queries under 1M documents
  • Pinecone: Best for fully managed cloud pipelines
  • Qdrant: Best for raw vector latency and custom indexes
roadmap

Software Engineer to AI Engineer Roadmap

A step-by-step career path detailing how to add LangGraph, evaluation datasets, and FastAPI to your stack.

  • Step 1: Python/TypeScript async frameworks
  • Step 2: State machines & LangGraph routing
  • Step 3: Assertion testing & evals datasets
roadmap

CS Graduate AI Engineering Roadmap

Accreditation project ideas, interview preparation questions, and portfolio metrics to get hired.

  • Build three verified systems (RAG, agent, MCP)
  • Benchmark cost/latency on each project
  • Host trace logs on public observability dashboards