Amit.dev
Workflow · Real tool

AI Workflow Builder

Chain LLM steps. Each step's output is available to the next via {{stepId.output}}; initial values come from {{input.<key>}}. Pick a preset, edit any prompt, watch the chain execute step by step with per-step latency.

Pick a workflow

v0.2 adds fetch and assert step types alongside llm. Outputs flow via {{stepId.output}}.

Classic content pipeline. A researcher lists sub-topics; a summariser turns them into two paragraphs; a closer distills it into a single tweet.

1

Research

Idle

Output

Idle.
2

Summarise

Idle

Output

Idle.
3

Tweet

Idle

Output

Idle.

How this fits the AI-ops toolkit

  • ai-eval evaluates a single LLM call against assertions. Workflow Builder chains many calls and feeds their outputs into each other.
  • Multi-Agent PR Reviewer is a fixed 4+1 workflow (four parallel reviewers → one aggregator). Workflow Builder is the user-defined version.
  • Multi-Agent Orchestrator is the educational demo of the same pattern; this is the workable tool.

v0.1 limits: serial steps only (parallel + branching on the roadmap), one provider (OpenRouter via /api/demo/generate), each step capped at 400 output tokens. Future: branching, parallel forks, fetch / assert step types, save+share workflow URLs, export to ai-eval YAML.