AI & Workflows·5 min read·

How Tenaciti's AI Assistant Works (and What It Can Actually Do)

Tenaciti's AI Assistant is a conversational interface to your entire workspace — it understands your courses, topics, progress, goals, deadlines, notes, and uploaded material, and it can both answer questions about them and take direct action: creating notes, updating goals, completing topics, linking related content, and building study plans, all from a single natural-language prompt.

What makes this different from asking ChatGPT

A general-purpose chatbot has no access to your actual courses, deadlines, notes, or progress unless you manually paste it in every time. Tenaciti's assistant is already grounded in that context and can act on it directly, rather than just describing what you should go do yourself.

  • Context-aware: It knows your enrolled courses, uploaded syllabi, topic completion status, confidence ratings, notes, and deadlines — no need to explain your situation from scratch each time.
  • Action-taking: It doesn't just tell you what to do — it can create notes, mark topics complete, update goals, link related content, and build study plans directly in your workspace.
  • Workspace-integrated: Every action it takes updates your real workspace data, not a separate chat history that you'd need to manually transfer.

Real examples

The AI Assistant operates in three modes — Ask, Find, and Do:

Ask: Get answers grounded in your actual data

  • "What should I study next before my Thermodynamics midterm?"
  • "Which topics do I have the lowest confidence in for Data Structures?"
  • "How is my GPA looking this semester compared to last?"

Find: Search across your workspace

  • "Find all my notes about recursion"
  • "Which courses have upcoming deadlines this week?"
  • "Show me topics I haven't reviewed in over two weeks"

Do: Take real actions in your workspace

  • "Create a note linking mitosis and meiosis"
  • "Mark my Chapter 4 topic as complete and build me a two-week study plan for finals"
  • "Set a goal to raise my Data Structures GPA to 3.5 by the end of semester"

Try it

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