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 · 39
Use an AI to write, optimize, and debug your prompts. Meta-prompting is how top teams ship production prompts faster than humans alone could write them.
Before shipping, attack your own prompts. Inject, confuse, overload, and role-swap. If you don't find the holes, your users will.
The EU AI Act is the most sweeping AI law in the world. It will set the compliance floor for anyone who ships globally. Here is the architecture, the timeline, and what it gets right and wrong.
Red-teamers get paid to make AI misbehave. The field has grown into a real discipline — with its own methods, its own ethics, and its own unresolved questions.
If you ship AI, ethics is not abstract. It is a set of decisions you make with real trade-offs. Here is the working checklist serious builders actually use.
The AI coding tool market fragmented fast. Let's map the 2026 landscape honestly: who is for autocomplete, who is for agents, who wins on cost, and what the tradeoffs actually feel like.
Autocomplete is a suggestion. An agent is an actor. The mental model you bring to each is different, and conflating them is the number-one reason teams trip over AI coding.
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.
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.
AI belongs in CI/CD too. From PR previews to rollback judgment calls, agents can operate inside your pipeline safely — if you scope them right.
AI coding bills surprise teams that don't watch them. Let's break down the real cost drivers, the levers that actually reduce them, and how to set guardrails before your CFO does.
The creators capstone. You scope, design, build, test, deploy, and document a real full-stack project using an agentic workflow — end to end.
LangGraph became the production favorite in 2026 for good reasons — explicit state, checkpointing, first-class MCP. Build a real agent end-to-end and learn why.
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.
A prototype agent and a production agent have the same LLM. What's different is everything around it — durable state, retries, idempotency, observability. The real engineering.
An agent is a new attack surface. Prompt injection, privilege escalation, data exfiltration — these are no longer theoretical. Learn the attacks and the defenses.
Everything comes together. Design, code, test, secure, and ship a production-quality agent with open-source code you can fork today.
Behind the glossy UIs, video models expose REST APIs. Here's how to call Sora, Veo, and Runway programmatically and build production pipelines.
Plan, build, and launch a real creative product using the full AI stack. This is the final deliverable of the Creative track.
Claude Pro vs Max. ChatGPT Plus vs Pro. Gemini AI Pro vs Ultra. Stop guessing which plan you need. Here's the full map.
Subscription spend on AI can silently hit $100/mo. Learn the usage signals that mean upgrade, and the vibes that just mean temptation.
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.
Opus 4.7 shipped in April 2026 with a bigger thinking budget and a 1M-token window at standard prices. Here is the architecture, the pricing math, and when the premium is actually worth it.
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.
Galileo AI (now part of Google) generates high-fidelity UI mockups from prompts. Look at the acquisition, what happened to the product, and current Google Stitch equivalence.
ElevenLabs generates synthetic voices indistinguishable from human recordings. Deep dive on voice cloning, dubbing, the consent-and-ethics story, and pricing realities.
Writer is a full-stack enterprise AI platform with its own models (Palmyra), strict governance, and deep integrations. Look at who chooses it over ChatGPT Enterprise.
Gong records, transcribes, and analyzes every sales call to surface what works. Deep dive on what Gong actually does, the 'deal intelligence' features, and why it's $1,500+/seat/year.
Clay scrapes, enriches, and personalizes at scale for sales and marketing. Deep look at what it does, the Claygent agent, and pricing that starts at $149/month.
Vic.ai autonomously processes invoices, codes transactions, and speeds up AP teams. Deep look at what CFOs are buying and where it fails.
Harvey is the AI legal platform deployed at top law firms worldwide. Deep dive on what it does, why firms pay six-figures for seats, and the 2026 competitive landscape.
Streaming AI chat to production takes one framework and three env vars. Learn the deploy path that actually ships.
Tie it all together. A command-line tool that reads a file, calls Claude, and prints a summary. Real code, real errors, real polish.
The UK stood up the world's first government AI safety institute in November 2023. Its structure, scope, and access model are templates other nations are following.
Could AI help someone build a bioweapon? It's a serious question with a boring, important answer. Here is what the evidence shows without the scare quotes.
The world's most influential 'leaderboard' for AI is not a test — it is humans voting blindly. Here is how that works.
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.