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AI Digest

Local-first AI news digest experiments by Ameen Demiry.

AI Digest explores one product idea through four proof-of-concept tracks: turn noisy AI news, videos, benchmarks, and research signals into a structured daily briefing with source provenance, validation, diagnostics, and a polished HTML archive.

AI Digest banner

The Four POCs

POC Folder What it proves Status
1. LLM Pipeline llm_pipeline/ Deterministic ingest, enrichment, validation, and report rendering. Stable baseline
2. Hermes Multi-Agent agentic/hermes/ Four-role kanban crew: Concierge, Researcher, Librarian, Synthesizer. Reference implementation
3. Kaggle AI Agents agentic/kaggle_ai_agents/ Course/capstone sandbox for skills, tool use, security gates, and evaluation. Standalone POC
4. Single Agent + Skills agentic/single_hermes_agent/ Target direction: one host agent with progressively loaded skills. Design stub

What This Project Demonstrates

  1. Auditable AI output: every digest story carries source metadata and passes deterministic grounding checks before publishing.
  2. Local-first execution: the main experiments are designed around local Python, Ollama-compatible LLM calls, and committed fixtures where possible.
  3. Multiple agent architectures: the repo compares a staged batch pipeline, a multi-agent kanban crew, and a simpler single-agent-with-skills direction.
  4. Portfolio-grade reporting: generated HTML reports include story cards, categories, provenance, leaderboards, archive pages, and diagnostics.

Website Content

app/ is the approved website payload for mameen.github.io/AI_Digest. Treat those reports and diagnostics as canonical published artifacts.

Artifact Path
Website index app/index.html
Approved report index app/reports/index.json
Approved diagnostics index app/diagnostics/index.json
Latest approved report app/reports/20260728120000.html
Latest approved diagnostics app/diagnostics/20260728120000.diagnostics.html

Source POC folders may contain development outputs. When archiving, prefer app/ as the truth for what was approved and published.

Quick Start

# Bootstrap dependencies
python admin/manage.py bootstrap

# Run the stable pipeline baseline
python run.py --start 2026-07-29 --history 10

# Run tests
python run_tests.py

Hermes requires a local Hermes/Ollama setup:

python agentic/hermes/admin/manage.py bootstrap
python agentic/hermes/admin/manage.py go --start 2026-07-09 --history 10 --fresh

Kaggle POC commands live in agentic/kaggle_ai_agents/HOWTO.md.

Repo Skills

SKILLS/ contains repo-assistant skills for contributors and coding agents. These are not product/runtime skills. Runtime skill experiments live under agentic/, especially agentic/single_hermes_agent/.

Documentation

Topic Read
Documentation index docs/README.md
Contributor/agent rules AGENTS.md
Agentic POCs agentic/README.md
Shared library notes lib/README.md
Pipeline POC llm_pipeline/README.md
Hermes POC agentic/hermes/README.md
Kaggle POC agentic/kaggle_ai_agents/README.md
Single-agent design agentic/single_hermes_agent/docs/ideation.md

Attribution

Author: Ameen Demiry Portfolio: demiry.net GitHub: mameen/AI_Digest

AI Digest is released under the MIT License. Third-party dependencies retain their own licenses; see the dependency files and bundled notices where applicable.