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:
Three principles that guide every project
Every project ships with live demos, evaluation tables, and measurable results. No vague "improved efficiency" claims — just data.
Rebuild notes, config files, and architecture diagrams included. If you can't reproduce it, it didn't happen.
Projects are labeled clearly: Working MVP, In Progress, or Planned. No pretending planned work is done.
Technologies and domains covered across projects