> 📥 The full guide is available as a PDF. Download it at the top of the page — 14 pages with two axes, a decision matrix, four tool profiles and four cut-through questions.
> 🧭 Series hub for AI agents anno 2026. Four tools are all called "AI agent": OpenClaw, Claude Cowork, Perplexity Computer / Research and Hermes Agent. This article is the overview — the four deep-dives take you hands-on into each one.
Why this overview
I decided to do a deep dive on four tools that people right now all call "AI agents". They solve very different problems.
None of them are plug-and-play for heavy enterprise compliance yet. Some, especially Claude Cowork on Team and Enterprise, are already enterprise-oriented with admin controls and audit logging, but still require a concrete assessment of data, integrations, retention, logging and governance. They are all promising, and they give an early glimpse of what's coming. That's why it's worth understanding them now.
For each tool you get the same breakdown in the PDF: what it is, what speaks for it, what speaks against, and what it's best for. And most importantly: an honest marker of what I have run hands-on, and what I'm still testing.
The expensive mistake
The most expensive mistake I see: using these tools in the wrong context.
The four tools are agentic frameworks in early maturity. They are for small, brave startups and freelancers, and for teams that can move fast, live with sharp edges and take responsibility themselves. Get an agent running this week, and you'll gain time and insight before most others.
For a large organization with heavy compliance, traceability and data-handling requirements, the choice must be made with a concrete assessment. Claude Cowork on Team or Enterprise can be an option for internal tasks, but requires a review of data, integrations and governance. Microsoft Copilot Cowork is the other path worth watching.
Two axes: control and maturity
Two axes sort the four tools and turn the choice into a deliberate decision instead of a gut feeling.
Control: do you own the stack, or do you borrow the vendor's rails? OpenClaw and Hermes let you own the stack — they run on your own machine or server. Cowork and Perplexity run on the vendor's rails (Perplexity as a hybrid local/cloud flow with access to local files). Easier to get started with, but you accept the vendor's frame.
Maturity: how ready is the tool for real use? Maturity isn't only about core functionality. A tool can be powerful and still immature if security doesn't follow. A large attack surface pulls maturity down, no matter how well the tool otherwise delivers.
Overview: the four tools
| Tool | Status | In short | Best for | Main caveat |
|---|---|---|---|---|
| OpenClaw | ✓ Tested daily | Powerful, versatile local agent on your own machine. | Technically strong users who want to own the stack. | High security effort and large attack surface. Requires isolated environment. |
| Claude Cowork | ✓ Tested daily | Mature cloud agent product, from freelance to Enterprise. | Teams that quickly want to give colleagues an agent. | Prompt injection / exfiltration risks. Concrete review required for sensitive data. |
| Perplexity | ✓ Tested hands-on | Hybrid research flow: local files + cloud orchestration. | Research that needs to become documents and slides. | Data residency and model processing require assessment for sensitive EU data. |
| Hermes Agent | Under test | Open-source agent you run locally or on a server. | Owning the stack with more sandboxing than OpenClaw. | Young. My assessment is preliminary. |
It's not the strengths that derail an agent project. It's the caveats you didn't take a position on in time.
How to choose: four cut-through questions
Start with your requirements, not the tool.
1. Do non-technical colleagues need to get going fast? → Claude Cowork. Lowest threshold, no setup. Team or Enterprise after a concrete assessment in heavy compliance environments.
2. Is it research that has to end up as documents and slides? → Perplexity Computer / Research. The best research flow I've seen — but check data residency for sensitive EU data.
3. Do you have technical muscle and want to own the stack? → OpenClaw (powerful but large attack surface — requires isolated environment) or Hermes Agent (younger, but designed with more sandboxing).
4. Is it an enterprise rollout with compliance at the center? → None of them are plug-and-play yet. Watch Microsoft Copilot Cowork and do a concrete assessment of Claude Cowork Enterprise.
The capability-gap principle
It rarely comes down to technical level. It comes down to how sharply the task is cut. Those who get agents to create value have chosen a small, boring, repeating task with clear input, clear output and clear limits. Those who struggle want to build something big right away.
Where to go next
This article is the overview. The four deep-dives in the series take you hands-on into each one:
- Part 1: OpenClaw — field report from my own agent swarm
- Part 2: Claude Cowork — field report from my daily use
- Part 3: Perplexity Computer / Research — the research agent (upcoming)
- Part 4: Hermes — the local agent on your own machine (upcoming)
Snapshot
This field is moving fast. This is what I know in May 2026. Always check current terms, prices and security advisories before deciding.
Stefano Vincenti — GenAI strategist and architect. Co-founder of BotTellMe. External lecturer at ITU and DIS Copenhagen. Partner at TryZone. Subscribe to the newsletter and get the next issues directly.