Add artificial life seeding example

README.md

@@ -60,7 +60,10 @@ The initial repo includes:
 - full-text-search-ready indexing over title, abstract, and fulltext when SQLite FTS5 is available;
 - tests covering parsing, ingestion, relation storage, and search.
 
-Example applications live alongside the core package rather than defining it. The current example corpus pipeline is the TalkOrigins bibliography workflow under [`citegeist.examples.talkorigins`](./src/citegeist/examples/talkorigins.py) with a usage guide in [examples/talkorigins/README.md](./examples/talkorigins/README.md).
+Example applications live alongside the core package rather than defining it. Current examples include:
+
+- a topic-only bootstrap workflow for `artificial life` in [examples/artificial-life/README.md](./examples/artificial-life/README.md);
+- the TalkOrigins bibliography pipeline under [`citegeist.examples.talkorigins`](./src/citegeist/examples/talkorigins.py) with a usage guide in [examples/talkorigins/README.md](./examples/talkorigins/README.md).
 
 The prioritized execution plan lives in [ROADMAP.md](./ROADMAP.md).
 
@@ -176,6 +179,8 @@ PYTHONPATH=src .venv/bin/python -m citegeist example-talkorigins-duplicates talk
 
 The older `scrape-talkorigins`-style command names remain available as compatibility aliases. The full example workflow and reconstruction notes live in [examples/talkorigins/README.md](./examples/talkorigins/README.md).
 
+For a smaller example that starts from a topic phrase alone, see [examples/artificial-life/README.md](./examples/artificial-life/README.md).
+
 Correction files are simple JSON:
 
 ```json

examples/artificial-life/README.md

@@ -0,0 +1,100 @@
+# Artificial Life Topic-Seeding Example
+
+This example shows the smallest useful `citegeist` workflow that starts from a topic phrase alone.
+
+The seed phrase is:
+
+```text
+artificial life
+```
+
+## What It Demonstrates
+
+- topic-only bootstrap without a seed `.bib`;
+- previewing ranked candidate seed entries before writing anything;
+- storing a curated topic slug, topic name, and expansion phrase in the database;
+- running later topic-aware expansion from that stored phrase.
+
+## Preview First
+
+Use a preview run to inspect the best candidate seed entries without changing the database:
+
+```bash
+PYTHONPATH=src .venv/bin/python -m citegeist --db library.sqlite3 \
+  bootstrap \
+  --topic "artificial life" \
+  --topic-slug artificial-life \
+  --topic-name "Artificial life" \
+  --store-topic-phrase "artificial life alife artificial organisms complex systems evolution simulation" \
+  --topic-limit 10 \
+  --topic-commit-limit 5 \
+  --preview
+```
+
+That returns ranked candidates gathered through the configured resolver/search stack.
+
+## Commit The Topic Seeds
+
+Once the preview looks reasonable, run the same bootstrap without `--preview`:
+
+```bash
+PYTHONPATH=src .venv/bin/python -m citegeist --db library.sqlite3 \
+  bootstrap \
+  --topic "artificial life" \
+  --topic-slug artificial-life \
+  --topic-name "Artificial life" \
+  --store-topic-phrase "artificial life alife artificial organisms complex systems evolution simulation" \
+  --topic-limit 10 \
+  --topic-commit-limit 5
+```
+
+That does three things:
+
+1. finds topic-relevant seed entries;
+2. stores them in the bibliography database;
+3. creates or updates the `artificial-life` topic row with the curated expansion phrase.
+
+## Inspect The Result
+
+```bash
+PYTHONPATH=src .venv/bin/python -m citegeist --db library.sqlite3 topics
+PYTHONPATH=src .venv/bin/python -m citegeist --db library.sqlite3 topic-entries artificial-life
+```
+
+If you want to adjust the stored phrase later:
+
+```bash
+PYTHONPATH=src .venv/bin/python -m citegeist --db library.sqlite3 \
+  set-topic-phrase artificial-life "artificial life alife artificial organisms autonomous agents evolution simulation"
+```
+
+## Optional Batch Form
+
+The same topic-only seed can be expressed as a batch job:
+
+```json
+[
+  {
+    "name": "artificial-life-topic-seed",
+    "topic": "artificial life",
+    "topic_slug": "artificial-life",
+    "topic_name": "Artificial life",
+    "topic_phrase": "artificial life alife artificial organisms complex systems evolution simulation",
+    "topic_limit": 10,
+    "topic_commit_limit": 5,
+    "expand": false
+  }
+]
+```
+
+Run it with:
+
+```bash
+PYTHONPATH=src .venv/bin/python -m citegeist --db library.sqlite3 bootstrap-batch artificial-life.json
+```
+
+## Notes
+
+- This example is intentionally generic and corpus-independent.
+- The exact candidate set depends on live source availability and resolver behavior.
+- Prefer preview mode before committing topic-only seeds, because topic phrases are noisier than curated seed `.bib` inputs.