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What Can AI Agents Do?

AI agents go far beyond simple chat. Here's what makes them genuinely useful for real work.

Work With You Step-by-Step

AI agents support interactive workflows where you stay in control:

  • Watch progress in real time — See each step as it happens
  • Pause whenever you want — Stop to review before moving on
  • Change direction mid-stream — Adjust the approach as you learn more
  • Guide the process — Steer the agent based on your expertise

You keep oversight while the agent handles the routine work.

Show You Everything

Each agent maintains a clear record of what it knows and how it thinks:

  • Source tracking — See exactly where information comes from
  • Decision logic — Understand why the agent made each choice
  • Asks, not guesses — When something is unclear, a well-designed agent asks you rather than making something up

Remember Across Sessions

Unlike chatbots that start fresh every time, agents can:

  • Carry forward what they learn — The agent's knowledge grows across sessions, so you don't re-explain the same background
  • Learn your preferences over time — The more you work together, the better it understands how you think
  • Build understanding of your projects — Context about your ongoing work stays with the agent

Create Real Deliverables

Agents don't just chat—they produce actual outputs:

  • Figures and visualizations
  • Reports and summaries
  • Formatted exports ready to use

What an Agent Actually Is (in AgentLab)

In AgentLab, an agent combines five key elements:

  1. A goal or role — What it's responsible for
  2. Knowledge sources — Papers, notes, project context, etc.
  3. Tools and operators — Actions it can take (analysis, computing, workflow steps)
  4. A workflow — Dynamic steps that adapt based on your feedback (go back, skip ahead, branch)
  5. Memory — How it improves with feedback and repeated use

This is what makes AgentLab agents different from just using ChatGPT: they're built for human–AI co-reasoning in real research workflows.


Learn More

For a deeper technical look at how MorphMind agents work, read our whitepaper:

MorphMind Whitepaper (PDF)

Covers our approach to agentic AI, workflow orchestration, transparency, and human-AI co-reasoning in research contexts.