Operational Intelligence
Technical insights and procedural details regarding AI systems orchestration and collaborative research.
How do you ensure AI systems align with human intent?
Alignment is achieved through traceable reasoning and multi-layer verification. I design systems that show their "chain of thought," allowing humans to validate the logic at every critical junction before execution.
What is your process for designing agentic workflows?
My process is architect-first. I map out the state machines and hand-off points between specialized agents, ensuring each unit has a clear scope and a robust feedback loop with the human operator.
What makes your approach different from typical prompt engineering?
I focus on infrastructure, not just inputs. Instead of writing a "perfect" long prompt, I build modular systems where prompts are components of a larger logic engine, ensuring reliability and scalability.
How do you handle context management and data privacy?
Data hygiene is core to my build philosophy. I implement rigorous context window management and vector embedding strategies that prioritize data security and efficient retrieval without compromising privacy.
Are your systems compatible with local LLM deployment?
Yes. I specialize in designing systems that can bridge between frontier cloud models and local, private instances, allowing for maximum control over sensitive data streams.
What are your engagement models for AI research?
I offer flexible tiers ranging from foundational research consultations to full-scale agentic system implementation. I typically work on a project-based or monthly retainer basis to ensure consistent momentum.
How do we get started on a project?
The best way is to schedule a discovery call through the contact link. We'll discuss your specific goals, the technical feasibility of the proposed system, and define a roadmap for initialization.