AI Product & Systems Orchestrator · Agentic Workflows · Automation · Evaluation · Governance
I design and orchestrate AI-native product and workflow systems. My work focuses on problem decomposition, AI model/agent/tool selection, system design, requirements and boundaries, evaluation and validation, governance, and turning ideas into working AI-assisted systems. Implementation is heavily AI-assisted.
- AI Product & Systems Design
- Agentic Workflow Orchestration
- Automation
- Evaluation / QA
- AI Governance
- Creative Tech / Audio
Repo: jannekbuengener/sample-brain
One-line problem: Local-first sample management and music-production workspace built from a real producer workflow problem.
What it demonstrates:
- Product Thinking
- Creative Tech / Audio
- Requirements & Boundaries
- AI-assisted system delivery
- Agent orchestration
- Validation / QA
Repo: jannekbuengener/Claire_de_Binare
Core question: How do you prevent a complex automated system from confusing "technically capable" with "proven safe to activate"?
What it demonstrates:
- Deterministic system design
- Fail-closed behavior
- Validation & Evidence contracts
- Auditability
- Governance & Control boundaries
NOTE: Not a trading bot. Live capital is not authorised.
Repo: jannekbuengener/traum_taenzer
Frame: Responsible AI / Concept-to-System case
What it demonstrates:
- Safety-by-Design
- Privacy-by-Design
- Claims Governance
- Fail-closed AI behavior
- Translating abstract product ideas into bounded systems
NOTE: Not therapy, not diagnosis, not a live product.
Coordinated multiple AI agents and tools through a bounded Agent Room architecture, routing work to best-fit execution lanes while treating all provider output as evidence, not truth.
Core question: How do you coordinate multiple AI agents and tools without blindly trusting their output?
What it demonstrates:
- Multi-agent orchestration
- Bounded authority per lane
- Task-specific routing based on risk, cost, and readiness
- Independent validation of evidence
- Repair/merge convergence cycles
See the public portfolio excerpt for the sanitized case summary.
- I define the problem and desired outcome.
- I decompose work into bounded tasks.
- I select and orchestrate appropriate AI systems and tools.
- I define acceptance criteria and system boundaries.
- I validate outputs against evidence.
- I iterate when reality does not match the claim.
Substantial implementation work is AI-assisted. My core contribution is system design, product thinking, orchestration, requirements, validation and quality control — not claiming manual authorship of every code line.
- Electronic music production, DJing, sound design
- Label / A&R work, event organization
- Creative-tech domain expertise
- AI-native systems and agentic workflows
- Evaluation, governance, and validation frameworks
- Automation for product-oriented AI delivery
- Creative Tech where useful
I'm interested in roles around AI Product, Agentic AI, AI Automation, AI Enablement, Technical Product / AI Operations.