Learning series

PFP Labs Learning Series

Independent PFP Labs reading paths. Track names describe the topic, not an affiliation.

OpenAI

AI agents & OpenAI workflows

Production agent guides and practical playbooks for tool use, context, evals, and AI workflows.

Open reading path

15 published chapters

Building Production-Grade AI Agents

A 15-part field guide from the agent loop to evals and observability.

Open reading path

1. 01An Agent Is a System, Not a Prompt6 min read
2. 02Tools: Where Reasoning Meets the Real World5 min read
3. 03MCP: A Shared Capability Layer for Agents8 min read
4. 04Context Engineering: Give the Model Less, but Better6 min read
5. 05RAG vs Live Tools: Knowledge Is Not State5 min read
6. 06Deterministic vs Probabilistic Orchestration5 min read

5 published chapters

Practical Agent Systems Playbook

Five implementation-focused companions with portable architecture patterns.

Open reading path

1. 01Building a Production Agent Runtime9 min read
2. 02Adding Backpressure to an Agent Tool Layer8 min read
3. 03Designing a Fair Scheduler for Agent Workloads7 min read
4. 04Building an Agent Eval Harness From Scratch10 min read
5. 05How to Draw Clear Agent Architectures, Fast9 min read