AI Workflow Builder
A real working multi-step LLM workflow tool. v0.1 shipped three curated presets (Research → Summarise → Tweet · Code → Review → Refactor · Email → Classify → Reply); v0.2 added `fetch` and `assert` step types plus an export-to-ai-eval-YAML button; v0.3 added `runIf` conditional execution so any step can declare a condition on a prior output — two mutually-exclusive conditions in sequence form an if/else branch; v0.4 adds `parallel: true` so consecutive parallel-flagged steps fan out via Promise.allSettled — the multi-agent reviewer preset runs three reviewers concurrently then synthesises. Every prompt and input is editable in place. Each step streams independently; outputs flow into the next via {{stepId.output}} templating. Sits alongside the existing AI ops toolkit: ai-eval evaluates single calls, PR Reviewer is a fixed 4+1 workflow, this is the user-defined version. Lives at /workflow.
Built in public to learn something or prove a pattern. Some are published packages, some are demos that live on this site.
- ▸Most prompt-chain tools require visual flow editors that get unwieldy fast; raw YAML editors lose the wow factor
- ▸Showing real-time step execution requires per-step streaming, error isolation, and visible state
- ▸Outputs flowing into prompts is fiddly — needs template substitution that's obvious in the UI
- ▸Preset-first UX: pick a workflow, see all steps + inputs immediately, run with one click; advanced users edit any prompt inline
- ▸Per-step state machine (idle → running → done/error) with per-step latency surfaced; final-output card highlights the deliverable
- ▸Simple {{stepId.output}} and {{input.key}} substitution shown plainly in the prompt-template view — no hidden magic
Working tool with three useful real-world chains out of the box
Built on the existing /api/demo/generate route — no new server plumbing required
Natural sibling of ai-eval (evaluate single steps) and PR Reviewer (fixed workflow)
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