Paul Macko
AI Automation Strategist
Sources checkedAuthor of the Deplatformable newsletter and AI Automation Strategist. Helps creators, digital agencies, and knowledge workers construct resilient, autonomous content creation and audience engagement pipelines utilizing local and cloud-based AI tools.
Areas of focus
Professional niches
Proof of Work
Automated Content Repurposing Engine for Long-Form Media
Built an end-to-end automated workflow that ingests audio podcasts, generates precise Whisper transcripts, identifies viral hooks using LLM evaluation, and renders styled short-form video clips automatically.
Multi-speaker audio with heavy background music can lead to transcript misalignment without voice separation preprocessing.
Context: Whisper API, Claude 3.5 Sonnet, FFmpeg command automation, Python script runner.
View missionThe Deplatformable Guide to Local LLMs and Self-Hosted Data Sovereignty
Published an authoritative guide detailing the hardware specifications, quantization trade-offs (GGUF, EXL2), and network sandboxing needed to run private foundation models offline on consumer Apple Silicon and NVIDIA workstations.
Consumer hardware memory limits restrict inference speeds when running 70B parameter models without substantial unified RAM.
Context: Ollama, LM Studio, llama.cpp, Llama 3 8B/70B quantized models.
View mission