Andrej Karpathy walks through practical daily AI workflows in a 2-hour video, covering model selection, reasoning models, code execution, and multi-chat memory — techniques most people never use. Someone extracted these methods into a Claude-specific guide with ready-to-use examples.

• Most people use only 10% of what AI models can do; this covers the remaining 90%
• Specific techniques shown include choosing the right model, deciding when reasoning models justify the cost, generating full research reports from single prompts, and automating code execution
• The guide translates Karpathy's video into Claude-specific features with immediately applicable examples

Claudia Ng outlines how to run the open-source Hermes agent for free by pointing it at NVIDIA’s free API tier. She walks through installing the Hermes desktop app, configuring the NVIDIA API key and model (switching from GLM-5.1 to DeepSeek V4 Flash), and enabling web search tools, while noting latency and rate-limit issues on the free tier.

• Local Mac models couldn't hit the 64K-token context window Hermes needs for tool loops, forcing a switch to NVIDIA's free API tier.
• Setup was just a few terminal commands: install the desktop app, run `hermes model` to point at NVIDIA (49 models available), and `hermes tools enable web` for search.
• GLM-5.1 burned through the free tier fast due to timeouts and heavy reasoning overhead, so switching to DeepSeek V4 Flash gave faster responses with shorter reasoning traces.
• Every tool call adds a round trip and grows the prompt, so free-tier sessions can stall once rate limits hit.