Visualize word embeddings in 2D — explore clusters, nearest neighbors, and vector arithmetic like king − man + woman = queen.

Interactive single-neuron visualization — adjust inputs, weights, and bias, then see how activation functions shape the output.

Explore how the attention mechanism works through an intuitive cocktail-party analogy.

Compare how a raw base model and an instruction-tuned model respond differently to the same prompts.

Toggle between a polished chat UI and the raw token stream underneath — see how special tokens create the "conversation."

Watch how an LLM's context window gets dynamically filled — system prompts, memories, instructions, skills, and conversation all compete for limited space.

Explore how researchers peer inside language models — from polysemantic neurons to interpretable features and attribution graphs.

Visualize how fine-tuning and LoRA adapt a pre-trained model to new tasks.

See how LLMs use function calling to interact with external tools and APIs.

Step through Retrieval-Augmented Generation: embedding, retrieval, and answer synthesis.

Quantify the true cost of your meeting culture with hidden cost multipliers, then triage meetings using the Decide / Learn / Bond / Do framework.

Strategic pricing calculator — navigate the ChatGPT Tax, compare Build vs Buy economics, and generate data-driven pricing tiers.

24-month total cost comparison for self-hosted open-source vs. vendor API, with custom canvas charts and a pragmatic hybrid option.

6-step wizard: validate a GenAI idea with the Three Pillars, Four Validation Tests, and get a concrete MVP prototype recommendation.

Pitch a GenAI solution to a skeptical CTO through 4 branching dialogue scenes. Build trust, handle objections, and close the deal.

Interactive capex-to-model timeline: see how each year's Big 5 investment splits into inference, training, and research — each arriving 2–4+ years later.