AI industry builder / agent workflows

Brad Zhang

Longform AI writing, forum-grade X thinking, and open-source proof for founders, operators, and early AI teams.

X / @teach_fireworks

Topic dossier

Agents

Delegation, orchestration, recovery, and what breaks when multi-step intelligence is treated as magic.

How do multi-step systems remain legible once delegation, handoff, and recovery all begin to fail at different times?

Agent discourse is often too enchanted by autonomy. This topic page keeps returning to ownership, interruption, and the cost of pretending workflows are coherent by default.

Checkpoint cover for fireworks-sessions-saver

Lead essay

When Agents Forget, Design Finally Begins

Forgetfulness is not a defect to eliminate. It is one of the constraints that reveals what the system actually values.

A systems view of forgetting, compaction, and recoverability in multi-agent workflows.

WeChat Import/March 2026/10 min read

Project evidence

Pull the topic back to execution.

Recovery spread for fireworks-sessions-saver

Session continuity without continuity theater

fireworks-sessions-saver

A checkpointing layer for coding sessions, built to survive interruption, context loss, and handoff without pretending memory never breaks.

  • Checkpoint model for coding CLI tools
  • Designed around interruption, recovery, and handoff
  • Makes context survivable instead of merely longer
Recall spread for fireworks-skill-memory

Memory as a recoverable working surface

fireworks-skill-memory

A memory system for coding agents that values persistence, reuse, and editorial recall over mere accumulation.

  • Per-skill memory instead of one global dump
  • Designed for cross-session recovery and editorial reuse
  • Turns experience into reusable operating context