AI Facilitation Workflows
A library of agent workflow definitions documenting how real platforms orchestrate AI agents to facilitate group processes. Each workflow captures agent roles, participant interaction models, stage pipelines, and data flow.
Inclusion criteria: Does an AI agent actively conduct, guide, or mediate a conversation or group process? Tools that only collect votes, structure arguments, or analyze data post-hoc are out of scope.
Source: workflows repo
Platforms
| Platform | Source | Type | Agents | Scale |
|---|---|---|---|---|
| Anthropic Interviewer | researched | Async 1-on-1 interviews | Interviewer + Analyst | 1,000+ |
| Bot Mediation | researched | AI dispute mediation | AI Bot Mediator | 2 (bilateral) |
| ComplexChaos | inferred | Async organizational alignment | Dialogue Agent + Pattern Synthesizer | 5-200 |
| CrowdSmart | researched | Generative Collective Intelligence | Collective Reasoning Agent + Pairwise Engine + Private LM | 10-10,000 |
| Habermas Machine | verified | Iterative consensus | Statement Generator + Critique Processor | 5-1,000 |
| Harmonica | verified | Async structured deliberation | Facilitator + Cross-Pollinator + Synthesizer | 3-500 |
| Juno | inferred | Unscripted AI interviews | Interviewer + Thematic Analyst | 5-1,000 |
| Listen | inferred | AI research pipeline | Recruiter + Interviewer + Analyst | 10-1,000 |
| Orchidea | researched | AI workshop facilitation | AI Ideator + Proposal Drafter | 3-500 |
| Outset | researched | Multimodal AI interviews | AI Moderator + Fraud Detector + Analyst | 10-5,000 |
| Parlay Ideas | researched | Classroom discussion facilitation | Parlay Genie + Participation Tracker | 5-40 |
| Remesh | inferred | Real-time collective dialogue | Clustering Engine + Consensus Predictor + Human Moderator | 20-5,000 |
| Talk to the City | verified | Elicitation + clustering | WhatsApp Bot + Topic Clusterer + Visualizer | 10-10,000 |
| Thinkscape | researched | Swarm intelligence | Conversational Surrogates + Orchestrator | 14-400 |
Source Types
- verified — documented from open-source code or detailed published methodology
- researched — documented from academic papers or detailed technical write-ups
- inferred — reconstructed from public marketing and website descriptions
Workflow Schema
Each YAML file describes:
- Agents — roles like facilitator, synthesizer, clustering engine, with type (
llm,human,hybrid,system) - Participants — input mode (text/voice/vote/mixed), interaction style, synchronicity, scale, anonymity
- Stages — ordered pipeline: input → processing → memory → output
- Patterns — which OFL facilitation patterns the platform implements (e.g., cross-pollination, Delphi)
See the schema definition for full details.
How This Fits into OFL
Workflows are one of three complementary layers:
- Patterns (this knowledge base) — abstract facilitation methodologies
- Agent Skills — executable instructions following the Agent Skills spec
- Workflows (this page) — how real platforms wire agents into complete facilitation systems