Chris Fiedler
Private & Local-First AI Systems Architect
I design and operate private, local-first AI systems that are auditable, secure, and fully controlled by the organizations that use them.
Redis memory · MariaDB audit trails · Docker-orchestrated local LLMs · Human-governed workflows
The problem with most AI today
Most modern AI solutions are built as cloud-hosted black boxes:
- Your data leaves your environment
- Model behavior can’t be audited
- Hallucinations are invisible until something breaks
- Compliance is assumed, not provable
That approach works for demos and chatbots.
It fails when AI is used for real work, real decisions, or sensitive data.
I build AI systems that run where your data already lives, with full transparency and human control.
What I actually do
I work at the intersection of AI, infrastructure, and governance.
AI & Systems Audits
A clear, defensible snapshot of your current systems and workflows.
- Identify risk, drift, and hidden fragility
- Determine what AI can safely automate
- Produce a realistic roadmap — not hype
Private AI System Builds
Design and deployment of on-prem or private AI systems, including:
- Local LLM inference (no forced cloud APIs)
- Structured short-term and long-term memory
- Audit logging and non-destructive workflows
- Integration with existing tools and databases
Ongoing AI Stewardship
Long-term care for AI systems that need to stay trustworthy:
- Monitoring and hygiene
- Updates and tuning
- Guardrails against silent failures
No SaaS lock-in.
No data leakage.
No autonomous systems acting without approval.
About Chris Fiedler
I’m not a prompt engineer or an AI reseller.
My background is in:
- Drupal and large-scale content/data systems
- Infrastructure and DevOps
- Automation with audit trails
- Local large-language-model orchestration
I approach AI the same way I approach infrastructure:
Design for failure.
Trace everything.
Never make silent changes.
This mindset comes from years of working across technical systems, creative disciplines, and operational environments — where precision, repeatability, and accountability matter more than novelty.
AI should be useful, explainable, and owned by the people who rely on it.
The Medusa system
Most of my work is powered by Medusa — a local-first AI orchestration system designed for governed intelligence.
Medusa provides:
- Modular AI agents (specialized roles, one unified voice)
- Local inference with no forced cloud dependency
- Redis short-term memory for active context
- MariaDB long-term memory for auditability and history
- Human-in-the-loop enforcement by default
Medusa is not a chatbot.
It’s an AI operating system for serious, real-world use.
Who this work is for
This approach is best suited for organizations that require trustworthy AI, including:
- Law firms and compliance-sensitive practices
- Operations teams with legacy or mixed systems
- Agencies handling confidential client data
- Founders and researchers who need control, not hype
If you want the fastest possible AI demo, this isn’t it.
If you want AI you can explain, audit, and defend, we should talk.
Start with an AI audit
Every engagement begins with a paid AI & systems audit.
No free consulting.
No vague promises.
Just a clear understanding of reality and a safe path forward.
👉 Request an AI Audit