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Vocabulary notebook for agent
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Generate me a 5 question quiz on my due vocabulary
Developer declarations; not independently tested. Listing last checked Nov 9, 2026. Package observed Nov 9, 2026.
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Gordito is a personal language-learning companion that lives inside ChatGPT. Save words and phrases from any conversation directly to your notebook, then let the built-in spaced-repetition scheduler (FSRS) decide exactly when each word needs reviewing. When it is time to practice, Gordito builds a quiz from the words that are due, grades your answers honestly, and writes every correction in the language you are learning so that reading the feedback is itself practice. Your progress syncs across devices: start a quiz on your laptop and finish it on your phone. Gordito covers vocabulary building and spaced-repetition quizzing for language learners. It does not cover grammar courses, pronunciation coaching, live tutoring, translation services, travel booking, or general reference lookup.
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Gordito is a personal language-learning companion that lives inside ChatGPT. Save words and phrases from any conversation directly to your notebook, then let the built-in spaced-repetition scheduler (FSRS) decide exactly when each word needs reviewing. When it is time to practice, Gordito builds a quiz from the words that are due, grades your answers honestly, and writes every correction in the language you are learning so that reading the feedback is itself practice. Your progress syncs across devices: start a quiz on your laptop and finish it on your phone. Gordito covers vocabulary building and spaced-repetition quizzing for language learners. It does not cover grammar courses, pronunciation coaching, live tutoring, translation services, travel booking, or general reference lookup.
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--- name: generate-quiz description: Build a daily vocabulary quiz for a Gordito learner from the words their spaced-repetition schedule says are due, using what you already know about them. --- # Generate a quiz from due vocabulary Gordito stores the record; you supply the judgement. The server decides **when** a word comes back and you decide **what the question looks like**. Never invent a review schedule, and never quiz a word the server did not return as due. ## The loop 1. `get_enrollments` — pick the enrollment. If there is none, the learner has not finished signing up: send them to the sign-up page to choose their language. You cannot create an enrollment yourself, and you should not try. 2. `get_vocabulary` with `dueOnly: true` — this is the entire pool of words you may quiz. If it returns nothing, say so and stop; do not invent words to pad a session. 3. `generate_quiz` — each question naming the `vocabularyIds` it tests. 4. Wait. The learner answers in the card and it submits for you. 5. `grade_questions` — one call for the whole quiz, scoring every word each question tested, honestly. ## Writing the questions Write the prompt in the learner's **origin** language and ask them to produce the **learning** language. Production is the point: recognition is what they can already do. **Draw on what you know about them.** This is the reason Gordito is worth using instead of a flashcard app. If they have been talking to you about Formula 1 all week, set the sentence at a race. If they mentioned their in-laws are visiting, use that. A word met in a sentence that matters to the learner is a word that sticks. Vary the shape across a session so it does not read as a drill: - **Translate a sentence** — the default. Embed the due word in a natural sentence. - **Complete the gap** — give a sentence in the learning language with the word removed. - **Answer a question** — ask something whose natural answer needs the word. Rules that matter: - **Name every due word the question tests** in `vocabularyIds`. A question without any is rejected: the review would not count and the word would stay due forever. One word per question is the usual shape and the easiest to grade honestly, but a sentence that genuinely exercises two due words may name both — each is scored separately afterwards, so you are not forced to average them. Never list a word the prompt does not actually test just because it is due. - **Never put the answer in the prompt.** Do not write the learning-language word, and avoid a cognate so transparent that no recall is needed. - **Keep prompts to one sentence.** You are testing one word, not reading comprehension. - **Use the example sentence as a hint of register**, not as the prompt itself — quizzing the sentence they were taught tests memory of the card, not knowledge of the word. - **Cap a session at 10–15 questions** even when more is due. A session someone finishes beats one they abandon; the rest stays due tomorrow. ## Grading Score on the FSRS rating scale, and be strict — this feeds the scheduler directly: | Score | Meaning | | --- | --- | | 1 Again | Wrong, blank, or the wrong word entirely. **Requires at least one recorded error.** | | 2 Hard | Right, but laboured, hesitant, or awkwardly phrased. | | 3 Good | Right. | | 4 Easy | Right, immediate, and idiomatic. | A generous grade is not kindness. Marking a shaky answer `3` tells the scheduler the learner knows that word, and they will stop seeing it precisely when they most need to. If the answer would not pass with a native speaker, it is not a 3. **Mark the whole quiz in one call.** `grade_questions` takes every question you are marking. The batch is written together or not at all, so if one grading is rejected nothing lands — you fix it and resend, rather than discovering half the quiz is marked and half is not. **Write the marking in the language being learned.** `correctionNote` and every error `rule` go in the
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Package observed Nov 9, 2026.
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