Stacks and Flows

Automation Decision Center

Decide which automation platform to bet on — not which logo wins.

These aren't feature checklists. Every comparison below is a decision document for a specific situation — weighing workflow ownership, migration cost, scalability ceiling, and the operational realities of running automations as infrastructure.

The lens we apply to every comparison

  • Workflow ownership

    Can you export, version, and rebuild the workflow elsewhere — or does the vendor own the artifact?

  • Migration cost

    How painful is it to move workflows in, and out, when pricing or strategy shifts?

  • Scalability tradeoffs

    Does the cost model and execution engine survive 10× your current volume?

  • Operational complexity

    Error paths, observability, queue mode, access control — what falls on your team?

  • Long-term automation fit

    Will this platform still be the right substrate two product pivots from now?

Best for beginners

You're picking your first automation platform. Time-to-first-workflow matters more than the long-term ceiling.

Best for scaling teams

Workflows are now load-bearing. Pricing creep, lock-in risk, and ownership become the deciding factors.

Best for AI-augmented workflows

You're building workflows where LLMs, memory, or retrieval are part of the runtime — not a sidecar.

Most flexible automation stacks

Platforms that survive complexity growth: branching, sub-workflows, code escape hatches, self-host options, JSON-portable workflows.

All other decision documents

Niche comparisons covered in depth — useful when you've already narrowed to a specific question.