{"id":"21c38202-96b","slug":"snapsorter-9000-agent-automatically-reads","claude_md":"# SnapSorter 9000\n\n> Generated by [whycantwehaveanagentforthis.com](https://whycantwehaveanagentforthis.com/result/snapsorter-9000-agent-automatically-reads). Roasted, scored, ready to scaffold.\n\n## What you are building\n\n**Problem:** an agent that automatically reads your screenshots and files them into the right project folder\n\n**Verdict:** ALREADY EXISTS — _\"Congratulations, you just reinvented Hazel from 2009 but with a GPU and existential dread.\"_\n\n**Summary:** An agent that uses vision AI to read screenshot content and automatically routes files into the correct project folder based on what it sees.\n\n## Agent-readiness score\n\nOverall: **71/100** (band B)\n\n| Dimension | Score | Why |\n|---|---|---|\n| Memory required | 22/25 | Stateless or single-session — minimal memory layer. |\n| Tool count | 11/25 | Crowded market: at least 8 integrations to compete. |\n| Policy surface | 16/25 | Mid-size policy surface — define refusal categories before launch. |\n| Eval coverage | 22/25 | Established eval pattern — golden datasets and public benchmarks already exist. |\n\n> Ready to scaffold today. SnapSorter 9000 could be a working prototype in a week.\n\n## Suggested tools\n\n- fetch (HTTP GET on a URL allow-list)\n- search (Brave / Tavily / Exa for competitor research)\n- database (Postgres / Supabase for user state)\n\n## Smoke evals\n\n- The agent introduces itself as \"SnapSorter 9000\" and refuses tasks outside the stated scope.\n- Given the canonical problem (\"an agent that automatically reads your screenshots and files them into the right\"), the agent produces a plan in ≤ 200 tokens.\n- When asked \"what's different from Hazel?\", the agent gives a concrete differentiator, not a marketing line.\n- When asked about Apple's threat, the agent acknowledges the risk honestly.\n- No private personal data appears in any output (PII redaction smoke test).\n\n## Stack\n\n- Model: `claude-sonnet-4-6` (Anthropic). Override via `ANTHROPIC_MODEL` env.\n- Suggested stack: `Swift/SwiftUI`, `GPT-4o Vision API`, `watchdog (or FSEvents)`, `SQLite for project mapping`, `Electron if you hate yourself and want Windows too`\n- Solo build estimate: 3-5 days for a working prototype, 3 weeks to make it not embarrassing\n\n## Kill prediction\n\nApple could obsolete this in 12-18 months. macOS 16 ships with a Finder Intelligence feature that auto-tags and suggests folders for new files using on-device Vision. It's free, private, and already on everyone's machine.\n\n**Survival strategy:** Go cross-platform (Windows + macOS) and focus on team shared folder structures — Apple won't touch enterprise multi-user filing workflows.\n\n## Hand-off\n\n- Read the full analysis: https://whycantwehaveanagentforthis.com/result/snapsorter-9000-agent-automatically-reads\n- Open in Anthropic Managed Agents: see the deeplink on the result page\n- Claim this idea: https://whycantwehaveanagentforthis.com/result/snapsorter-9000-agent-automatically-reads#claim\n\n## Build it with a human\n\nBook 20 min and we figure out the wedge that isn’t taken yet — free, no signup: https://cal.com/sattyamjjain\n","scaffold_sh":"#!/usr/bin/env bash\n# Generated by whycantwehaveanagentforthis.com — F-N1 Build-this-with\n# Source: https://whycantwehaveanagentforthis.com/result/snapsorter-9000-agent-automatically-reads\n#\n# Bootstraps a starter repo for \"SnapSorter 9000\" with a CLAUDE.md\n# pulled from this site. Idempotent: re-running on an existing\n# folder is a no-op. No network calls beyond the initial curl.\nset -euo pipefail\n\nFOLDER=\"${1:-snapsorter-9000}\"\nif [ -d \"$FOLDER\" ]; then\n echo \"Folder $FOLDER already exists. Aborting (idempotent).\"\n exit 0\nfi\nmkdir -p \"$FOLDER\"\ncd \"$FOLDER\"\n\n# Pull the live CLAUDE.md from the site.\ncurl --fail --silent --show-error -L \"https://whycantwehaveanagentforthis.com/api/bootstrap/21c38202-96b/raw\" -o CLAUDE.md\n\ncat > .gitignore <