Define a structured onboarding workflow that gathers a customer’s existing tools (email system, order tracking, software platforms) to auto-generate a...Show more

Used React Flow and AI prompts to auto-generate customer journey and back-of-house task flows enriched with industry data and system integration hooks...Show more

Built a Tableau-inspired dashboard to plot revenue per employee versus number of employees for various industries, enabling targeted market filtering ...Show more

Use NAICS classification codes merged with US Census data to create structured datasets for industry analysis and AI-driven insights.

Developers can bootstrap Claude plugin and template packages via a single npm command (npm install -g @claude/code-templates) to quickly get up and ru...Show more

Claude’s desktop extensions (DXTs) follow a standardized package format that anyone can pull down and install, avoiding manual configuration when addi...Show more

The marketplace supports agent templates and configuration sets enabling developers to bundle sub-agents and commands into reusable packages for quick...Show more

Claude’s plugin marketplace uses a standardized JSON configuration (Claude plugin/marketplace.json) in a GitHub repo to register and share sub-agents,...Show more

Cameron highlights that managing multiple CLI-based coding tools like MCP servers, subagents, and slash commands across folders becomes chaotic, sugge...Show more

Leverage GitHub’s spec kit to implement spec-driven development by predefining specs and tests before generating code, ensuring structured AI-assisted...Show more

Offer self-service, bottoms-up developer adoption pathways rather than sales-led models to maximize usage among developers.

Fine-tuning a GPT2 chat model on your podcast transcripts can create a personalized AI that mimics your speaking style.

Speedrun.sh script enables building and fine-tuning a GPT2-based chat model on an 8× H100 cloud node in about four hours using Lambda Cloud for around...Show more

Deploy hardware like GPT120 units or Mac Minis to fine-tune and run inference locally, enabling personalized model customization without cloud depende...Show more

Use auto-routing agent clusters that combine specialized local models with cloud-hosted agents to optimize for privacy, latency, and capability trade-...Show more

Eureka Labs' LLM101N is an undergraduate-level class that guides students through training their own AI, culminating in a capstone project using their...Show more

Tom describes using Hugging Face model cards to trace a model’s lineage—identifying base models like Llama and tracking thousands of fine-tunes by thi...Show more

Use Open Web UI front end (via Docker or local) to run the same prompt simultaneously against multiple LLM providers for direct output and performance...Show more

Use a structured benchmarking approach to evaluate AI inference providers by measuring inference speed, context-window limits, and quality degradation...Show more

Use a generic agent plugin as an interim mechanism for LLMs to interact with existing web interfaces, preparing for future web enhancements.