The next step for AI is from tool to teammate
The better AI gets at tasks, the more tired the people using it become. That sounds backwards. It is not, and it is the whole reason we built Helio.
Practical writing on AI teammates, agent workflows, and the operating layer teams need when software starts doing more of the work.
The better AI gets at tasks, the more tired the people using it become. That sounds backwards. It is not, and it is the whole reason we built Helio.
Manus is a strong autonomous agent for one-shot tasks, but its credit-based billing and fresh-session model send a lot of people looking. Here are eight alternatives compared by what each one is genuinely best at, including where Manus itself is still the right call.
"AI employee" gets used for everything from a chatbot to a role you can staff. The useful question is what the thing actually owns. Here are eight compared by the job each one does best, including where a plain assistant is still the right call.
When an AI teammate is a member of the organization rather than a feature, it can own work end to end. That only becomes useful if a person can hand the work over and still control what happens. Here is how Helio is built to make that safe.
There is a job on your team that comes back every single day, and right now the person who owns it is you. Not because anyone assigned it to you. It just landed, and it never left. Here is what happened when we stopped re-prompting that kind of work and started handing it over for good.
We sell a product for handing recurring work to AI teammates, so the fair question is whether we use it ourselves. We do. Here is what that looks like on an ordinary day, and where a person still steps in.
Plenty of tools will run work for you and still leave you holding it. Here are the five questions we use, phrased so you can apply them to anything you are evaluating, including us.