ai-landscape-review
LangGraph-based editorial pipeline for generating AI landscape snapshots across weekly, monthly, quarterly, and yearly cadences.
Usage
ai-landscape-review --period weekly --dry-run
ai-landscape-review --period monthly
Pipeline
The graph is:
Gather -> Gap Analysis -> Research -> Synthesise -> Write
Research is skipped when gap analysis returns NO GAPS.
Notes
- LLM calls are made via
claude --print; no LangChain model wrappers are used. - The tool reads from
~/notes/AI News Log.mdand~/notes/AI Landscape.md. - In
--dry-runmode, the synthesis is printed and no files are modified. - LaunchAgent plist templates are generated under
launchd/.
1 maintainer
Metadata
1 maintainer
Release files for theoria 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| theoria-0.1.0.tar.gz | 9.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| theoria-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.6 kB
Release files / theoria-0.1.0.tar.gz
| Download URL | theoria-0.1.0.tar.gz |
|---|---|
| Size | 9.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.2
|
Release files / theoria-0.1.0-py3-none-any.whl
| Download URL | theoria-0.1.0-py3-none-any.whl |
|---|---|
| Size | 9.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.2
|
Security for theoria 0.1.0
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