Tendril
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Creators · Ages 14–17
The full LLM pipeline, agentic AI with OpenClaw + Ollama, subscription-tier literacy, and a real capstone.
Meet your guide: Atlas — a minimal octahedron
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Chapters
Modules · 49
Dive into the equations that governed the last five years of AI progress, and the fresh questions they raise now that pure scaling is hitting walls.
Before shipping, attack your own prompts. Inject, confuse, overload, and role-swap. If you don't find the holes, your users will.
Frontier models now read a million tokens of your codebase in one shot. That changes how we architect prompts, retrieval, and the cost curve of agentic work.
TDD was already the gold standard. Paired with an agent, it becomes the tightest feedback loop in software. Here's the full workflow and the pitfalls.
Agents ship working code that's also quietly insecure. Red-teaming means actively attacking your own code. Let's build the habits that catch real-world exploits before attackers do.
Code review is the highest-leverage touchpoint in a team. Automating the noise with AI frees humans to focus on the irreducibly human parts. Let's design the workflow.
Sub-agents turn Claude Code from a coding assistant into a small engineering team that works in parallel. Let's build a real sub-agent workflow end to end.
The creators capstone. You scope, design, build, test, deploy, and document a real full-stack project using an agentic workflow — end to end.
Underneath every agent framework is the same primitive — the model returns a structured tool call, you execute it, you feed the result back. Master this loop and every framework looks familiar.
Computer Use lets Claude see your screen and use it — mouse, keyboard, apps. The capability is real, the gotchas are real. A hands-on look at what works in 2026.
Everything comes together. Design, code, test, secure, and ship a production-quality agent with open-source code you can fork today.
Going beyond the chat window. When you'd reach for the API, how pricing actually works, and how to start building. The API is where AI becomes a building block The consumer app is the most polished version of an AI experience.
Assemble the four or five AI tools that actually belong in your daily life. A tested template for the stack that earns its keep.
Perplexity Comet is a full web browser that treats AI as a first-class citizen. It reads, summarizes, and acts on pages you visit.
Ambient scribes, diagnostic copilots, and evidence engines sit in every exam room. Here is what a physician's workday now looks like — and what still rests on your judgment.
Ambient scribes capture sessions. Between-session chatbots support clients. But the therapeutic alliance — the thing that actually heals — stays irreducibly human.
Claude Code, Cursor, and Copilot write 40-60% of your keystrokes. The job is not gone — it mutated into reading, directing, and reviewing more code than ever.
Fine-tune, evaluate, serve, monitor. The ML engineer is the person who ships the models that now power medicine, law, and design. It is the highest-leverage engineering role.
Databricks Assistant, Snowflake Cortex, and dbt Copilot draft pipelines in minutes. The edge is in modeling, governance, and knowing what business question to answer.
Autodesk Forma and generative design explore thousands of layouts while you sleep. The PE still owns every seal on every drawing.
Fusion generative design explores millions of topology options. nTopology and Ansys simulate in hours what used to take weeks. The ME still owns manufacturability.
NVIDIA GR00T, Physical Intelligence π0, and Figure Helix took the vision-language-action paradigm from research paper to factory floor. This is the hottest hardware-software frontier.
Microsoft Security Copilot, CrowdStrike Charlotte, and SentinelOne Purple accelerate defense. Attackers use the same models. The security engineer is the referee in an AI-vs-AI arms race.
Vercel Agent, Datadog Bits, and GitLab Duo automate incident triage and infra changes. Reliability is now a prompt-engineering problem as much as a YAML problem.
Phone cameras measure range of motion better than goniometers. AI writes the progress notes. PTs are putting hands on patients more, not less.
AI reads every pitch deck that hits the inbox. Partners spend their time on what still matters — founder judgment and market taste.
Cursor forked VS Code and rebuilt it around AI. It's now the de facto AI IDE for serious engineers. Deep dive on what makes it different, the Composer agent, and the $500/month enterprise pricing.
Windsurf (from Codeium, acquired by OpenAI in 2025) competes with Cursor via Cascade, its autonomous agent. Deep look at where it's ahead, where it's behind, and the post-acquisition future.
Claude Code runs in your terminal, operates on your actual file system, and treats your whole repo as context. Deep look at why senior engineers prefer it to IDE-based AI.
Codex CLI is OpenAI's open-source terminal coding agent. Look at how it compares to Claude Code, what it does uniquely, and why it matters to non-Anthropic shops.
Zed is a Rust-native code editor that integrates AI collaboration and pair-coding at the architecture level. Look at its strengths as a lightweight Cursor alternative.
Framer's AI turns a prompt into a publishable website with real code. Look at who's using it to ship portfolios and small-biz sites in 2026.
Zapier built the integration platform that connects 7,000+ apps. Zapier Agents and Zapier Central are its attempt to add AI agents on top. Deep look at where it works and where it breaks.
An agent is a loop: model decides, tool runs, model reads result, decides again. You'll build one in 100 lines without a framework.
Pull data from an API, clean it with pandas, ask Claude to enrich each row, save to SQLite. The pattern powers most data-engineering AI work.
Generics let a function work for many types while keeping type safety. The syntax looks scary and the concept is simple.
FastAPI is Python's modern web framework. Type hints become schema. Docs auto-generate. Ship an API in 20 lines.
Streaming AI chat to production takes one framework and three env vars. Learn the deploy path that actually ships.
While larger countries debate, Singapore shipped a practical tool. AI Verify is a testing framework and toolkit that lets companies self-assess against international principles.
The world's most influential 'leaderboard' for AI is not a test — it is humans voting blindly. Here is how that works.
When the test questions quietly end up in the training data, scores lie. Here is how it happens and how to catch it.
Evaluating models that see, hear, and read at once requires new kinds of tests. Here are the ones that matter.
Prompts are code. Code needs tests. Here is how to stop silently breaking your system each time you tweak a prompt.
Benchmarks measure what you ask. Red-teaming measures what breaks. Learn to test for failure modes, not capabilities. For AI, red teams probe for harmful outputs, jailbreaks, bias, leakage of training data, and dangerous capabilities.
Real data is expensive, private, or scarce. Synthetic data is generated by models themselves. It is rapidly becoming as important as scraped data.
Thousands of companies you have never heard of trade your personal data every second. Understanding this invisible market is understanding modern privacy. Brokers and AI training Much training data for specialized models (ad targeting, credit scoring, risk assessment) comes from brokers.
Pandas is the Python library that made data science what it is today. Ten verbs get you through 90 percent of day-to-day data work.
These two formats are the bread and butter of data interchange. Handling them well means handling edge cases well.
AI writes Java for you faster than your teacher can say 'Scanner'. Using it without cheating yourself out of the class is the real skill.