Applied Research & Strategic Systems
Applied research environments — where I test and build the systems thinking I apply in client work. AI-augmented systems that maintain human control, auditability and sovereignty.
Negotiation Agents
Decision training under uncertainty.
AI-powered diplomatic simulations with 41 behavioural archetypes, multi-channel integration and full audit trail. Negotiators train against realistic counterparts — without real consequences.
- 41 behavioural archetypes
- Multi-channel negotiation (text, voice, video)
- Full audit trail and replay
- Scenario editor for custom scenarios
- Real-time coaching and debriefing
PolicyMonitor Studio
From policy signal to technical impact — automated.
Automated source monitoring, evidence-based triage and report workflows for policy teams. From source capture to finished briefing — in minutes, not days. PolicyMonitor also offers a free Gold-Plating analysis for an initial deviation scan and a paid technical screening for source-verified reporting.
- Automated source monitoring (EU institutions, news agencies)
- Evidence-based triage and relevance filtering
- Free Gold-Plating analysis for an initial deviation scan
- Paid technical screening with source-linked traceability
- Report workflows with templates
- Stakeholder mapping and impact analysis
- Export to common formats (PDF, DOCX, HTML)
ShellAgents
AI-driven automation without vendor lock-in.
Modular workflow automation with file-based traceability and auditable pipeline. Every step is transparent, reproducible and under your control.
- Modular agent architecture in pure Bash
- File-based traceability (every step documented)
- Auditable pipeline with complete log
- AI integration (local models and API)
- No vendor lock-in, no proprietary dependencies
More about ShellAgents
ShellAgents is an AI orchestration system that breaks complex tasks into small, well-defined steps and assigns each step to a specialised AI agent. Rather than producing answers from a single black box, ShellAgents coordinates a team of agents — each with a clear role and mandate — to deliver results collaboratively. The system works across domains: research, analysis, document preparation, or administrative workflows.
The core design principle is auditability. Every step of every workflow is documented in plain, human-readable files: which agent did what, what sources were consulted, what quality checks were applied, and whether any issues were flagged. A structured task sheet (the “Laufzettel”) records responsibilities, dependencies, and review outcomes — comparable to an audit trail in regulated environments. Nothing happens in the background without a record.
This makes it straightforward to reconstruct how any given result was produced, who (or what) contributed to it, and where human oversight was exercised. With growing regulatory attention to AI systems — including the EU AI Act’s requirements around transparency, traceability, and human oversight — this kind of architecture is increasingly relevant.
ShellAgents is designed so that every AI action can be reviewed after the fact, safety limits are configurable, and fabricated information is actively detected and flagged. While full regulatory compliance depends on how the system is deployed and governed, the foundation is built for accountability: AI handles the workload, but the audit trail stays with you.
Typical work patterns
Operations Stabilisation
Problem: IT runs but is fragile — every change creates side effects.
Result: Documented dependencies, monitoring, structured maintenance cycles.
Security Resilience
Problem: Security is based on assumptions, not on tests.
Result: Validated backups, tested recovery, prioritised measures.
Architecture Clarity
Problem: Grown landscape without a big picture — migration or consolidation is blocked.
Result: Target architecture, migration path, executive decision brief.