Product
Ask Pip to write it, plan it, debug it, or argue with your thesis. And under the school side sits a floor of hand-written lessons no model improvises.
An assistant you can hold to its word
Capabilities
One section per capability — nothing aspirational, nothing "coming soon". Every claim is checkable in the product, and every "Learn more" lands on the doc that says exactly how it works, limits included.
Chat
Auto reads each message and routes it to the lightest model that can handle it — the scoring happens locally, before any model is called, so choosing Auto costs nothing and adds no latency. Or pick a model yourself: the cockpit says what each one is for, and third-party models are always your explicit choice, never Auto's.
Research
Deep research reads real pages and pins citations to the claims they support, so you can open what it read. A run that finds no real sources is labelled that way — it is never dressed up as a finished report.
Images
Describe what you want, pick a style, refine the concept you like. Styles are honest prompt expansions — the preset shows you exactly what art direction it added to your words, rather than doing something unexplained to them.
Code
The code workspace writes code, runs it, and reads the failure — inside the conversation. Source files are read natively across dozens of file types, so debugging starts from your actual code rather than a paraphrase of it.
Study
Most assistants improvise school. CHUD ships 12 written courses — the SAT, the ACT and 10 AP exams — covering 471 topics with units, lessons, quizzes and flashcards that a person sat down and wrote. It teaches the concept, then makes you prove you have it. Here is the whole ledger, counted from the shipped curriculum:
Counted from the shipped curriculum, not typed into the page. If a course ever ships unfinished, this table says so on its own.
Memory
Pip carries what matters between sessions: your classes, your goals, how you like things explained. What it stores is a list you can read, and every entry can be deleted on its own — memory you can audit, not a vibe you have to trust.
Install
CHUD ships a web app manifest and a service worker, so a browser that supports installation can add it to a home screen or dock and open it without browser chrome. There is no app store listing to wait on and nothing to update by hand.
What you get
Write, plan, debug, argue with your thesis — one thread, one model picker, no app-switching.
Drop in a syllabus, a lab sheet, a chapter. It reads them and cites what it used.
Give it the exam date. It works backwards into days you can actually do.
Google Docs, Sheets, PDF, Markdown — the answer leaves the chat as a real file.
Models
This list is read from the same catalog the in-app picker renders, engine names included — so what is advertised here is what you get. Auto routes within your plan's roster by task difficulty — the engine names below are exactly what runs, and the reply always says which one answered. On pricing these same engines are grouped into tiers as Pip Lite, Pip, and Pip Max — two names, one roster.
No per-message prices are printed here on purpose: cost depends on how long the answer is, so a flat number would be a fiction. Monthly allotments live with the plans.
Automatically routes each message to the right tier by difficulty.
from Free
Runs the app's structured jobs — lesson answers, key terms, quizzes, plans.
from Pro128K context
The fastest, lightest tier. Streams answers instantly for quick questions.
from Free200K context
Fast enough for chat, smart enough for real work — with live thinking and web search. The default.
from Student1M contextlive thinking
Best-in-class reasoning, long-form output, live thinking, and web search.
from Pro1M contextlive thinking
OpenAI's most capable frontier model — strongest coding, long-context and multi-step work.
from Pro400K context
OpenAI's current reasoning model — plans before it answers, and thinks harder as the question gets harder.
from Student400K context
The highest-intelligence option here: OpenAI's -sol model run in pro reasoning mode. It does substantially more work per answer, so it is slower and costs more — pick it for genuinely hard problems, not for chat.
from Pro400K context
xAI's frontier model, with the largest context window here — 500K tokens, enough for a whole textbook chapter in one go.
from Pro500K context
CHUD is in beta. Things ship most weeks, some of them break, and when they do we say so rather than quietly patching it. Read what changed.
Pricing
120 tokens a month
Real chat, and deep research that shows its sources. No card, ever.
What counts as a token?640 tokens a month
Every AP unit opens, and Pip steps up to the model that handles real work.
What counts as a token?1,440 tokens a month
Every model, the code workspace, and the design canvas.
What counts as a token?