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                Agent teams for complex systems

Version License

Convoke organizes AI agents into domain-specialized teams. Each team brings deep expertise to a specific discipline — product discovery, implementation, operations, or whatever your domain requires. Vortex, the product discovery team, is the first. You can install teams independently or combine them.


Vortex — Product Discovery Team

7 agents guide you from insight to evidence and back again — a continuous discovery loop, not a one-shot checklist

Agents Workflows

Most teams skip validation and build on assumptions.

Vortex guides you through seven discovery streams — from understanding your users to interpreting production signals — so you can make evidence-based decisions before, during, and after you build. Each stream builds on the previous one's findings, and when gaps appear, the system routes you back to fill them.

                         7 Streams · 7 Agents

  ┌─────────────┐   ┌─────────────┐   ┌─────────────┐   ┌─────────────┐
  │     Isla    │──▶│     Mila    │──▶│     Liam    │──▶│     Wade    │
  │  Empathize  │   │ Synthesize  │   │ Hypothesize │   │ Externalize │
  └─────────────┘   └─────────────┘   └─────────────┘   └─────────────┘
         ▲                                                       │
         │                                                       │
         │                                                       ▼
  ┌─────────────┐   ┌─────────────┐   ┌─────────────┐            │
  │     Emma    │◀──│     Max     │◀──│     Noah    │◀───────────┘
  │Contextualize│   │ Systematize │   │  Sensitize  │
  └─────────────┘   └─────────────┘   └─────────────┘
         │                 │                 │
         └─────────────────┴─────────────────┘
          ▶ Start at Emma · back to any stream

Suggested flow. Each workflow ends with a Compass routing to whichever stream needs attention — you can start or return to any agent.

22 Vortex Workflows
  • Assumption Mapping
  • Behavior Analysis
  • Contextualize Scope
  • Empathy Map
  • Experiment Design
  • Hypothesis Engineering
  • Lean Experiment
  • Lean Persona
  • Learning Card
  • MVP
  • Pattern Mapping
  • Pivot Patch Persevere
  • Pivot Resynthesis
  • Product Vision
  • Production Monitoring
  • Proof of Concept
  • Proof of Value
  • Research Convergence
  • Signal Interpretation
  • User Discovery
  • User Interview
  • Vortex Navigation
Agent Stream What they do
Emma 🎯 Contextualize Frame the right problem — personas, product vision, scope
Isla 🔍 Empathize Understand users — empathy maps, interviews, discovery research
Mila 🔬 Synthesize Converge research into clear problem definitions
Liam 💡 Hypothesize Turn problems into testable hypotheses and experiments
Wade 🧪 Externalize Test assumptions with MVPs, experiments, and prototypes
Noah 📡 Sensitize Interpret production signals, user behavior, and engagement patterns
Max 🧭 Systematize Capture learnings and decide: pivot, patch, or persevere

What Agents Produce

Here's a sample of real output from a busy parents meal planning project — each excerpt is from the full 7-agent journey example.

Emma 🎯 Contextualize

Emma frames the right problem. Here's the Job-to-be-Done she produced:

Job-to-be-Done: Eliminate the daily 5:30 PM dinner decision so I can feed my family well without the mental load of planning, shopping, and deciding under time pressure.

Riskiest Assumptions:

  1. Decision fatigue — not cooking skill or ingredient access — is the primary barrier to weeknight dinner success
  2. Parents would trust and act on an externally-provided dinner suggestion rather than needing to choose themselves
  3. "Good enough" nutrition is an acceptable standard — parents aren't seeking perfection, they're seeking relief from guilt

Liam 💡 Hypothesize

Liam turns problems into testable ideas. Here's one of three hypotheses he produced:

Hypothesis 1: The Pre-Commute Decision Eliminator

We believe that busy parents will act on a single dinner suggestion delivered at 4:00 PM within 3 minutes because the decision burden — not cooking — is their primary barrier, and an earlier intervention catches them before the anxiety spiral begins.

Riskiest Assumption: Parents will trust and act on an automated suggestion without second-guessing. Research shows they want "someone to tell me what to make" — but "someone" may need to be a trusted person, not an algorithm.

Max 🧭 Systematize

Max captures what you learned and decides what to do next:

Recommendation: PATCH (iterate on timing, don't pivot direction)

The core hypothesis is validated. The product direction (decision elimination via single suggestion) is correct. The timing mechanism needs refinement — shift from fixed 4:00 PM delivery to adaptive delivery based on each user's observed engagement pattern.

Three Actions:

  1. Implement adaptive timing — shift the push notification to match each user's observed engagement window. Engineering effort: 1-2 sprints.
  2. Route to Isla for timing investigation — qualitative research on why users engage at 3:15 PM. Is it anxiety relief, logistical planning, or habit?
  3. Test willingness to pay immediately — the mechanism works, but we have no commercial validation. Run a landing page test with pricing before further product investment.

Want to see the complete walkthrough of all 7 agents applied to the example above?

See the full 7-agent journey example →


Quick Start

Prerequisites

  • Node.js 18+ or Bun
  • Git
  • Claude Code or Claude.ai

Install

npm install convoke-agents && npx -p convoke-agents convoke-install-vortex

All 7 agents with 22 workflows are installed and ready to use. Something not working? Run npx -p convoke-agents convoke-doctor or check the FAQ.

Personalize

Open _bmad/bme/_vortex/config.yaml and replace {user} with your name. Agents use this to personalize their interactions.

Activate an Agent

Claude Code / Terminal

cat _bmad/bme/_vortex/agents/contextualization-expert.md          # Emma  🎯
cat _bmad/bme/_vortex/agents/discovery-empathy-expert.md          # Isla  🔍
cat _bmad/bme/_vortex/agents/research-convergence-specialist.md   # Mila  🔬
cat _bmad/bme/_vortex/agents/hypothesis-engineer.md               # Liam  💡
cat _bmad/bme/_vortex/agents/lean-experiments-specialist.md       # Wade  🧪
cat _bmad/bme/_vortex/agents/production-intelligence-specialist.md # Noah  📡
cat _bmad/bme/_vortex/agents/learning-decision-expert.md          # Max   🧭

Claude.ai

Open any agent file from _bmad/bme/_vortex/agents/ and paste its contents into your conversation.

How activation works: Each agent is a markdown file containing a full persona, menu system, and workflow instructions. When Claude reads the file, it adopts that agent's expertise and presents you with an interactive menu. Pick a workflow from the menu and follow the guided steps.

Your First 15 Minutes

  1. Personalize — If you haven't already, edit _bmad/bme/_vortex/config.yaml and replace {user} with your name
  2. Activate Emmacat _bmad/bme/_vortex/agents/contextualization-expert.md
  3. See the menu — Emma presents numbered options. Select Lean Persona from the menu
  4. Follow the steps — Emma walks you through 6 guided steps, asking questions at each one
  5. Find your artifact — When done, your lean persona is saved in _bmad-output/vortex-artifacts/
  6. Follow the Compass — At the end, Emma's Vortex Compass suggests which agent to use next based on what you learned

Each workflow ends with a Compass routing suggestion. You don't need to follow a linear path — the system guides you to whichever stream needs attention.

What Gets Installed

your-project/
├── _bmad/bme/_vortex/
│   ├── agents/           # 7 agent definition files
│   ├── workflows/        # 22 workflows
│   ├── contracts/        # Artifact contract schemas
│   ├── guides/           # User guides (all 7 agents)
│   └── config.yaml       # Configuration
└── _bmad-output/
    └── vortex-artifacts/  # Generated artifacts

Updating

npx -p convoke-agents convoke-version          # Check current version
npx -p convoke-agents convoke-update --dry-run  # Preview changes
npx -p convoke-agents convoke-update            # Apply update (auto-backup)
npx -p convoke-agents convoke-doctor            # Diagnose issues

Your data in _bmad-output/ is never touched. Automatic backups are created before every update.

Tip: If npx convoke-update reports "Already up to date" but you know a newer version exists, npx may be serving a cached copy. Force the latest with:

npx -p convoke-agents@latest convoke-update --yes

See UPDATE-GUIDE.md for migration paths and troubleshooting.

Using the Agents

Each agent can be used independently or as part of the full Vortex flow:

  1. Emma (Contextualize) — Start here when defining a new product or problem space
  2. Isla (Empathize) — Start here when you need to understand users better
  3. Mila (Synthesize) — Start here when you have research to converge into a problem definition
  4. Liam (Hypothesize) — Start here when you have a problem definition and need testable hypotheses
  5. Wade (Externalize) — Start here when you have hypotheses ready to test
  6. Noah (Sensitize) — Start here when experiments have graduated to production
  7. Max (Systematize) — Start here when you have results and need to decide next steps

Max's Vortex Navigation workflow helps identify which stream needs attention based on evidence gaps — you don't have to follow a linear path. Every workflow ends with a Vortex Compass that routes you to the right next agent based on what you learned. Ten handoff contracts (HC1-HC10) ensure structured information flows between agents — see the contracts directory for details.

For detailed workflow descriptions and usage examples, see the Agent Guide and the individual user guides:


How It Fits with BMAD Core

Convoke handles discovery and validation. BMAD Core handles implementation.

Convoke Teams                              BMAD Core
┌──────────────────────────────┐          ┌──────────────────────┐
│ Vortex (Product Discovery)   │ ──────>  │ PM → Architect → Dev │
│   "Should we build this?"    │          │ "Let's build it"     │
│                              │ <──────  │                      │
│ [Future teams]               │  signals │                      │
└──────────────────────────────┘          └──────────────────────┘

Convoke works standalone or as an extension — no BMAD Method installation required.


Documentation

Document Description
Agent Guide Detailed agent descriptions, workflows, and positioning
Testing Automated test suite, CI pipeline, and agent test results
Development Guide Architecture, building agents, and contributing
FAQ Common questions about the framework
CHANGELOG Complete version history
UPDATE-GUIDE Migration paths and update troubleshooting

Roadmap

  • v1.1.0–v1.5.x — Waves 1-2: Foundation (Emma, Isla, Wade, Max — agent definitions, workflows, update system, CI/CD)
  • v1.6.x — Wave 3: Complete 7-stream Vortex (added Mila, Liam, Noah — 7 agents, 22 workflows, handoff contracts, Compass routing)
  • v1.7.0 — Wave 4: Quality & onboarding (P0 test suite, docs audit tool, all 22 workflows production-ready, README overhaul, package size fix)
  • v2.0.0 — Product renamed to Convoke. CLI commands renamed to convoke-*. Package: npm install convoke-agents
  • Next — Additional domain-specialized teams, multi-agent collaboration, cross-team workflows

Contributing

We welcome contributions in these areas:

  • Agents — New domain-specialized agents, workflow improvements
  • Testing — Edge cases, performance testing
  • Documentation — Tutorials, translations, video walkthroughs
  • Integration — IDE plugins, third-party tools

Have feedback? Found a quality issue, want a missing capability, or have a general comment about an agent? Open an issue and select the Agent/Workflow Feedback template — takes under 30 seconds.

See the Development Guide for architecture details and agent development patterns.


License

MIT License — see LICENSE

Acknowledgments

Agents

Every agent below contributed to the design, implementation, testing, or documentation of this release.

Core

  • BMad Master 🧙 — Orchestration and agent coordination

BMM — BMAD Method Module

  • Mary 📊 Analyst — Requirements analysis and product briefs
  • Winston 🏗️ Architect — Architecture decisions and technical design
  • Amelia 💻 Dev — Implementation and code delivery
  • John 📋 PM — Product management and PRD creation
  • Barry 🚀 Quick Flow — Rapid solo development
  • Quinn 🧪 QA — Quality assurance and test validation
  • Bob 🏃 SM — Sprint management and retrospectives
  • Paige 📚 Tech Writer — Documentation and editorial review
  • Sally 🎨 UX Designer — User experience design

BME — Vortex Pattern Agents

  • Emma 🎯 Contextualize — Problem framing and product vision
  • Isla 🔍 Empathize — User research and empathy mapping
  • Mila 🔬 Synthesize — Research convergence and problem definition
  • Liam 💡 Hypothesize — Hypothesis engineering and assumption mapping
  • Wade 🧪 Externalize — Lean experiments and MVP testing
  • Noah 📡 Sensitize — Production intelligence and signal interpretation
  • Max 🧭 Systematize — Learning capture and pivot/persevere decisions

CIS — Creative & Innovation Strategies

  • Carson 🧠 Brainstorming Coach — Creative ideation facilitation
  • Dr. Quinn 🔬 Problem Solver — Systematic problem-solving
  • Maya 🎨 Design Thinking Coach — Human-centered design
  • Victor ⚡ Innovation Strategist — Business model innovation
  • Caravaggio 🎨 Presentation Master — Visual communication
  • Sophia 📖 Storyteller — Narrative and storytelling

BMB — BMAD Builder Module

  • Bond 🤖 Agent Builder — Agent creation and configuration
  • Morgan 🏗️ Module Builder — Module architecture
  • Wendy 🔄 Workflow Builder — Workflow design and validation

TEA — Test Engineering & Architecture

  • Murat 🧪 Test Architect — Test framework, CI pipeline, and quality gates

Innovation Vortex PatternDiscover what has to be discovered, deliver what has to be delivered

Get Started | Agents | Docs | Roadmap

About

Domain-specialized AI agent teams for complex systems. Ships with Vortex — 7 agents and 22 workflows for product discovery. More teams coming.

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