Your GPU Is a Math Machine. So Is AI. So Why Doesn't It Just Work?
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CheckLocal.dev // Core Competencies
Engineering the
reliability layer.
I build the layer between local AI users and the hardware/software stack: GPU detection, model lifecycle correctness, CLI ergonomics, and compatibility fixes that make local models dependable.
Lab notes
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Latest articles
Every Chip Has a Secret Name: gfx Codes, ROCm, and the Fallback Ladder
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AILemonade
Run AI on Your Own Computer With Lemonade Server
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AIDeveloper Tools
Building a Local LLM Workflow: Gitea, Lemonade, and Autonomous Agents
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AIDeveloper Tools
LLM Modalities: Designing for Text, Vision, Audio, Video, and Action
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AIDesign
Game Primitives 01: The Heartbeat
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InteractiveParts
Current series
CheckLocal.dev: The Series
Engineering the next generation of local AI orchestration and framework-native automation — documented as we build it.
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Experiments
Work that shipped
Demos & experiments
Shipped tools, interactive prototypes, and technical explorations.
R&D
WebGL
Writing
Findings from running local models, agent workflows, and the design decisions behind them.
Local AI
Tutorials
Start something
Have a specific project in mind? Let's build a foundation together.
Collab
Strategy
Technical Focus
Core Lemonade Competencies
01
Hardware Enablement
ROCm package selection, AMD ISA mapping, and safe fallback logic for Vulkan, ROCm, and CPU compute paths.
02
Lifecycle Correctness
Multi-checkpoint status management, model name translation, and stable process identity through /health protocols.
03
CLI & Agent UX
Windows launcher behavior, recipe option ergonomics, and cross-platform process-launch failure resolution.
04
Client-Local State
Theme persistence, model-manager filtering, and respecting per-client local state boundaries.
Open Source Impact
18 pull requests (13 merged) and 2 issues filed & resolved. Snapshot: June 2026.
18
PRs Filed
13
Merged
100%
Issue Resolve