Hunter Brennick AI Systems & Advisory ↗
AI Systems Orchestration
Part II · Patterns And Practice/Chapter 06
06

Runtime Orchestration

What happens when the workflow actually runs: graphs, checkpoints, handoffs, parallel agents, human interrupts, and framework choices.

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The gist
  • Runtimes earn their place by solving real pain: resume, branching, retries, parallelism, approval.
  • Start with the failure mode, not the graph.
  • Wrap deterministic code around probabilistic calls.
RUNTIME SHAPES SEQUENTIAL intake plan execute use when steps are known and order matters PARALLEL fan out specialist A specialist B specialist C merge use when work decomposes into independent parts LOOP act check stop condition use when quality improves with iteration · always bound it GRAPH node branch A branch B state ◆ human gateinterrupt · resume use when state and branching and recovery are first class
FIG 06.1Runtime shapes: sequential, parallel, loop, and graph with checkpoints and human interrupts.

Module 7: Runtime Orchestration

This is where workflows become running systems.

Learn the runtime shapes
  • sequential agents
  • parallel agents
  • loop agents
  • graph nodes and edges
  • state and checkpointing
  • thread and session identity
  • long running tasks
  • human in the loop interrupts
  • handoffs versus agents as tools
  • deterministic code wrapped around probabilistic calls

Build a tiny runner for intake -> plan -> context -> execute -> evaluate -> final. Run it with one agent first. Then split one step into a specialist. Then add one checkpoint. Then add one human approval gate.

Runtime frameworks are useful when they solve a real pain:

  • resume
  • branching
  • retries
  • parallelism
  • traceability
  • human approval
  • deployment

Do not start with the graph because graphs feel advanced. Start with the failure mode.

Next chapterChapter 07 · Evals, Guardrails, And Safety Trust: evals, traces, guardrails, autonomy levels, approval gates, sandboxing, and knowing when not to automate.