Skip to content
How to ThinkIn the Age of AI

Flow-Based Batching

Grouping similar AI tasks together to maintain cognitive flow and reduce context-switching overhead. Instead of interleaving research, coding, and review, you batch all research into one session, all coding into another, maximizing both human and agent productivity.

Learn More

Session Types and Flow-Based Batching: AI Session Management That Actually Works

A practitioner's productivity architecture for AI-augmented work — four session types (triage, deep work, review, spike) with matched agent configurations and flow-based batching by cognitive mode.

AI-Augmented Backlog Refinement: How I Run Every Session with a PO Agent

How to configure Claude Code as a PO agent with session types and run AI-augmented backlog refinement that challenges your assumptions, not just generates boilerplate.

Learn this properly

Flow-Based Batching is taught in Your Personal AI Operating System — a guided sequence of 16 lessons.

After completing this path you will run a four-layer personal AI operating system: a persistent context layer (the AI knows your role, standards, and current work), a skill library (your repeated tasks specified once, invoked by name), scheduled routines (recurring work that runs without prompting), and a verification layer (specific, testable, documented agents you actually trust). You own the architecture; the tools become interchangeable.

Start the path →

Find your learning persona in about 2 minutes

Take the Quiz