About AgereAI

AgereAI is a build-in-public portfolio of applied AI systems—focused on working workflows, measurable reliability, and clear documentation (not hype). The roadmap is inspired by "portfolio-style" projects that show real capability, from classical ML to end-to-end automation.

What you'll find inside:

  • LLM automation workflows (e.g., Risk Analyzer: form → LLM → report → logs → email)
  • RAG knowledge assistant with citations (ingest + retrieval + constrained answers)
  • Agent/tool-use orchestration with human approval gates
  • Core ML projects (tabular prediction + feature importance, forecasting, anomaly detection, sentiment analysis, image classification)
  • AI compliance / audit checklist grounded in recognized risk management thinking (e.g., NIST AI RMF)
  • Recommender system MVP, an LLM evaluation harness, and an MLOps-style pipeline (rental prediction) to show production discipline
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Philosophy

Three principles that guide every project

Proof Over Claims

Every project ships with live demos, evaluation tables, and measurable results. No vague "improved efficiency" claims — just data.

Reproducibility

Rebuild notes, config files, and architecture diagrams included. If you can't reproduce it, it didn't happen.

Honest Status

Projects are labeled clearly: Working MVP, In Progress, or Planned. No pretending planned work is done.

Technical Skills

Technologies and domains covered across projects