Applied AI with methodological discipline
Agents, reasoning systems, and AI tooling are only useful when they are reliable, understandable, and evaluated against real workflows rather than demonstrations.
New launch — scribbling.party
Hands-on builder · Engineering leader · Applied AI
I am Dakota Kim, a builder first. My hands-on work spans software, robotics, and hardware — lately agents capable of sustained reasoning, the systems that make them dependable, and the interfaces that make them legible. What holds it together is an obsession with people: the ones I build with, and the ones I build for.
Director of Engineering, Applied AI at EQengineered.
Founder of MadWatch LLC.
The work I value most treats complexity with care until the result feels obvious to the person using it. In practice, that means staying close to both the implementation and the questions it is meant to answer.
Agents, reasoning systems, and AI tooling are only useful when they are reliable, understandable, and evaluated against real workflows rather than demonstrations.
My leadership comes from years of hands-on building and an empathy for fellow builders and the people our work serves. I stay close to the implementation, mentor technical and non-technical colleagues alike, and measure my impact by how far others rise.
From web applications to Apple platforms, I attend to the small design decisions that make software calmer, clearer, and easier to return to.
Alongside production work, I pursue a set of connected questions about how machine intelligence is built, grounded, and made usable.
Agents that plan, reflect, and execute across extended time horizons.
Grounding machine intelligence in structured representations of the world.
Systems that learn from their own experience and refine themselves over time.
From precise, unobtrusive applications toward embodied intelligence.
Representative work across independent software, applied research, open source, and focused consumer tools.
An independent software lab for small, carefully built apps and services.
Applied research notes and experiments around reasoning systems, world models, and human-computer interfaces.
Fine-tuned models and datasets on reasoning and agentic behavior, released openly on Hugging Face.
An AI-powered documentation agent for code-aware architecture notes.
A lightweight clipboard utility for macOS with a narrow job and a clean interface.
A habit product built around gentle, long-running quests.
I write about AI tooling, agent workflows, engineering control surfaces, and the parts of craft that are easier to observe after shipping.