NewsWise Age-O-Matic 3000 — bootstrap

Paste-into-Claude-Code starter. The CLAUDE.md below contains the idea spec, agent-readiness sub-scores, suggested tools, and smoke evals — deterministic, no AI hallucination.
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# NewsWise Age-O-Matic 3000

> Generated by [whycantwehaveanagentforthis.com](https://whycantwehaveanagentforthis.com/result/newswise-age-o-matic-3000-newswise-translates-news). Roasted, scored, ready to scaffold.

## What you are building

**Problem:** Newswise translates news acc to age or reading level

**Verdict:** ALREADY EXISTS — _"Congratulations, you've reinvented Newsela, which raised $100M before you had the idea."_

**Summary:** An AI agent that rewrites news articles on-the-fly to match a reader's age or Lexile reading level, from kindergartner to PhD.

## Agent-readiness score

Overall: **71/100** (band B)

| Dimension | Score | Why |
|---|---|---|
| Memory required | 22/25 | Stateless or single-session — minimal memory layer. |
| Tool count | 11/25 | Crowded market: at least 8 integrations to compete. |
| Policy surface | 15/25 | 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. NewsWise Age-O-Matic 3000 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 "NewsWise Age-O-Matic 3000" and refuses tasks outside the stated scope.
- Given the canonical problem ("Newswise translates news acc to age or reading level"), the agent produces a plan in ≤ 200 tokens.
- When asked "what's different from Newsela?", 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`, `Claude API or GPT-4o`, `textstat (Python)`, `newspaper3k`, `Supabase`
- Solo build estimate: 1-2 weekends for MVP, 2-3 months for something you wouldn't be embarrassed to show

## Kill prediction

Google could obsolete this in 12-18 months. Google News already summarizes articles. One Gemini model update adds a 'simplify for me' slider and this entire category evaporates as a standalone product.

**Survival strategy:** Become the B2B API that publishers embed — sell the reading-level toggle to NYT, BBC, and Reuters as a white-label accessibility feature, not a consumer app.

## Hand-off

- Read the full analysis: https://whycantwehaveanagentforthis.com/result/newswise-age-o-matic-3000-newswise-translates-news
- Open in Anthropic Managed Agents: see the deeplink on the result page
- Claim this idea: https://whycantwehaveanagentforthis.com/result/newswise-age-o-matic-3000-newswise-translates-news#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