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Why Most Local AI Doesn't Work For You
Claude Code usage limits aren't a Claude problem - they're a planning problem. Here's the architect-contractor workflow I use to get clean, working code from free local AI while keeping Claude Code for what it does best: planning.
I built a Vampire Survivors clone to prove it. Claude Code writes the blueprint (architect), Gemma 4 27B on Ollama executes the code (contractor), and you dispatch and verify (general contractor). The result: completely different output from the same local models that "fail" when you just throw prompts at them.
What you'll learn:
- Why 128k context windows matter for Claude Code (and why 32k isn't enough)
- The 4-stage architect → blueprint → contractor → escalate loop
- How to "interview" AI: turning one sentence into 7 markdown files and 15 tasks
- Why autonomous mode fails (and the test-by-test execution that actually works)
- Which Gemma 3 model to run based on your RAM
- How I use Ollama Cloud's free tier to handle execution without touching Claude's limits
🔗 Free Build Plan Template + Ollama commands (PDF):
https://danieljindoo.substack.com/
Chapters:
0:00 - The real reason your local AI "fails"
0:45 - The architect-contractor-GC workflow explained
2:10 - Why Claude Code needs 128k context (not 32k)
3:30 - The interview process: 1 sentence → 7 markdown files
5:45 - Test-by-test execution vs autonomous mode
7:20 - Which Gemma 4 model for your hardware
8:50 - Running the full loop end to end
Tools used: Claude Code (Anthropic)
- architect/planning Gemma 4 27B (Google DeepMind)
- contractor/execution Ollama + Ollama Cloud
- free local AI runtime OpenAI Codex
- comparison reference M2 Pro MacBook 16GB
- hardware demo
#claudecode #gemma4 #localai
FIND ME ON SOCIAL
X/Twitter: https://x.com/Jdaniel1216/
Instagram: https://www.instagram.com/jinni_doo/
LinkedIn: https://www.linkedin.com/in/hyoungjin-doo-a19394238/
Newsletter: https://danieljindoo.substack.com/
All Collab/Partnership Inquiries: layla_noh@doomade.com
Website: / https://doomade.com/
Видео Why Most Local AI Doesn't Work For You канала Daniel Jindoo
I built a Vampire Survivors clone to prove it. Claude Code writes the blueprint (architect), Gemma 4 27B on Ollama executes the code (contractor), and you dispatch and verify (general contractor). The result: completely different output from the same local models that "fail" when you just throw prompts at them.
What you'll learn:
- Why 128k context windows matter for Claude Code (and why 32k isn't enough)
- The 4-stage architect → blueprint → contractor → escalate loop
- How to "interview" AI: turning one sentence into 7 markdown files and 15 tasks
- Why autonomous mode fails (and the test-by-test execution that actually works)
- Which Gemma 3 model to run based on your RAM
- How I use Ollama Cloud's free tier to handle execution without touching Claude's limits
🔗 Free Build Plan Template + Ollama commands (PDF):
https://danieljindoo.substack.com/
Chapters:
0:00 - The real reason your local AI "fails"
0:45 - The architect-contractor-GC workflow explained
2:10 - Why Claude Code needs 128k context (not 32k)
3:30 - The interview process: 1 sentence → 7 markdown files
5:45 - Test-by-test execution vs autonomous mode
7:20 - Which Gemma 4 model for your hardware
8:50 - Running the full loop end to end
Tools used: Claude Code (Anthropic)
- architect/planning Gemma 4 27B (Google DeepMind)
- contractor/execution Ollama + Ollama Cloud
- free local AI runtime OpenAI Codex
- comparison reference M2 Pro MacBook 16GB
- hardware demo
#claudecode #gemma4 #localai
FIND ME ON SOCIAL
X/Twitter: https://x.com/Jdaniel1216/
Instagram: https://www.instagram.com/jinni_doo/
LinkedIn: https://www.linkedin.com/in/hyoungjin-doo-a19394238/
Newsletter: https://danieljindoo.substack.com/
All Collab/Partnership Inquiries: layla_noh@doomade.com
Website: / https://doomade.com/
Видео Why Most Local AI Doesn't Work For You канала Daniel Jindoo
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17 мая 2026 г. 4:03:18
00:11:52
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