The Problem

Clients need a way to generate an endlessly drill‑down illustrated explanation of any topic, with a consistent visual style. Existing tools require manual image editing or separate prompts for each zoom level, making the workflow cumbersome and non‑reproducible.

What This Does

The repository supplies a single‑page web‑app specification that defines a minimal server API and client responsibilities for an infinite drill‑down explainer. All behavior is described in README.md; there is no implementation code. The spec outlines:

  • A POST /api/page endpoint that accepts either a raw topic ({ "query": "…" }) or a parent page reference with normalized click coordinates ({ "parentId": "...", "parentClick": { "x":0‑1, "y":0‑1 } }).
  • A deterministic, content‑addressed ID scheme that enables caching of generated PNGs under <static>/generated/<id>.png.
  • A thin client contract: send the request, render the returned imageUrl, and provide simple navigation controls (Back, thumbnails, Reset).

These rules are concrete enough for any LLM‑assisted code generator or human developer to produce a working stack in the language of choice.

How It Is Wired

The repository contains no executable code, so a call graph cannot be extracted. The only defined entry point is the HTTP endpoint POST /api/page described in the spec. Expected flow (as per the document):

  1. Client → Server: fetch('/api/page', {method:'POST',body:JSON.stringify(payload)}).
  2. Server (implementation‑dependent): Validate payload (query length 1‑300, parentId shape, x,y ∈[0,1]). Compute deterministic id using the hashing rules in §6. Check <static>/generated/<id>.png; if present, return its URL. Otherwise, invoke an image model (prompt engineering omitted from the spec), write the PNG to the same path, and return the new page object.

All side‑effects (file system writes, cache look‑ups, model calls) are confined to the server implementation of the /api/page handler. No other modules, CI pipelines, Dockerfiles, or lockfiles exist to indicate how those responsibilities are currently wired.

How To Use It

The repo supplies only documentation, so a working system must be built from scratch. Minimal steps, based on the available evidence:

# 1. Clone the spec repository
git clone https://github.com/moses-y/illustrated-explainer-spec
cd illustrated-explainer-spec

# 2. Scaffold a server in the language of choice (e.g., Node/Express, Python/FastAPI)
#    Implement a POST /api/page route that follows the contract in README.md.

# 3. Add a static folder (e.g., ./static/generated) writable by the server process.

# 4. Build a thin client (HTML/JS) that:
#    - POSTs the topic to /api/page,
#    - renders the returned imageUrl,
#    - captures click coordinates, normalizes them with getBoundingClientRect(),
#    - sends the normalized values back to the same endpoint.

Because no package.json, pyproject.toml, Dockerfile, or Makefile is present, any build system must be introduced by the implementer. No environment‑variable names or secret handling are defined in the repo.

Real‑World Use

A media outlet could embed the generated UI in an article: a reader types “photosynthesis”, receives a stylized diagram, clicks on a leaf to zoom into chloroplasts, and continues indefinitely. The deterministic IDs ensure that repeated clicks on the same region return cached images, keeping bandwidth low while preserving artistic consistency.

Code Health & Issues

  • Med – No tests – repository has no test files; code paths would be unverified once implemented.
  • Med – No CI/CD – no .github/ workflows, Dockerfile, or other automation; continuous integration would need to be added.
  • Med – No LICENSE – absence of a license file leaves usage and redistribution rights ambiguous.

Static analysis also reported no lockfile, no Dockerfile, and no committed secrets.

The Bottom Line

The repo provides a clear, language‑agnostic specification for an infinite drill‑down illustrated explainer but contains no runnable code, tests, or CI setup. It is suitable as a reference for teams ready to implement the described API and client themselves; otherwise, additional scaffolding will be required before any functional system can be built.