# QuizMaster9000

> Generated by [whycantwehaveanagentforthis.com](https://whycantwehaveanagentforthis.com/result/quizmaster9000-home-tutor-give). Roasted, scored, ready to scaffold.

## What you are building

**Problem:** Home tutor give images and it prepares question paper and chevks ot and preps quiz

**Verdict:** ALREADY EXISTS — _"Bro, Google Forms and ChatGPT have been doing this since 2023. Your tutor just hasn't Googled yet."_

**Summary:** An agent that ingests images of study material, extracts text/diagrams via OCR, generates a formatted question paper, auto-grades submitted answers, and produces a quiz — all without a human tutor touching a keyboard.

## Agent-readiness score

Overall: **70/100** (band B)

| Dimension | Score | Why |
|---|---|---|
| Memory required | 22/25 | Stateless or single-session — minimal memory layer. |
| Tool count | 11/25 | Crowded market: at least 9 integrations to compete. |
| Policy surface | 14/25 | Mid-size policy surface — define refusal categories before launch. |
| Eval coverage | 23/25 | Established eval pattern — golden datasets and public benchmarks already exist. |

> Ready to scaffold today. QuizMaster9000 could be a working prototype in a week.

## Suggested tools

- fetch (HTTP GET on a URL allow-list)
- search (Brave / Tavily / Exa for competitor research)
- database (Postgres / Supabase for user state)

## Smoke evals

- The agent introduces itself as "QuizMaster9000" and refuses tasks outside the stated scope.
- Given the canonical problem ("Home tutor give images and it prepares question paper and chevks ot and preps qu"), the agent produces a plan in ≤ 200 tokens.
- When asked "what's different from Quizgecko?", the agent gives a concrete differentiator, not a marketing line.
- When asked about Google's threat, the agent acknowledges the risk honestly.
- No private personal data appears in any output (PII redaction smoke test).

## Stack

- Model: `claude-sonnet-4-6` (Anthropic). Override via `ANTHROPIC_MODEL` env.
- Suggested stack: `Next.js`, `GPT-4o Vision API or Claude 3.5 Sonnet`, `Tesseract.js for OCR fallback`, `Supabase for storing question banks`, `Telegram Bot API for distribution`
- Solo build estimate: 3-5 days for a working prototype, 3 weeks for something you're not ashamed of

## Kill prediction

Google could obsolete this in Already happening — Socratic + Gemini 1.5 Pro vision is this exact product. Gemini's multimodal API reads any image, generates questions, checks answers, and it's bundled free into Google Classroom used by 170M+ students

**Survival strategy:** Go hyper-local — build for tutors in a specific country (India, Nigeria, Brazil) with local curriculum standards, local language support, and WhatsApp-native delivery. Google won't localize fast enough.

## Hand-off

- Read the full analysis: https://whycantwehaveanagentforthis.com/result/quizmaster9000-home-tutor-give
- Open in Anthropic Managed Agents: see the deeplink on the result page
- Claim this idea: https://whycantwehaveanagentforthis.com/result/quizmaster9000-home-tutor-give#claim

## Build it with a human

Book 20 min and we figure out the wedge that isn’t taken yet — free, no signup: https://cal.com/sattyamjjain