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:
- A goal or role — What it's responsible for
- Knowledge sources — Papers, notes, project context, etc.
- Tools and operators — Actions it can take (analysis, computing, workflow steps)
- A workflow — Dynamic steps that adapt based on your feedback (go back, skip ahead, branch)
- 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:
Covers our approach to agentic AI, workflow orchestration, transparency, and human-AI co-reasoning in research contexts.