MakersClaw
The operating system for a company run by agents
738 followers
The operating system for a company run by agents
738 followers
Makersclaw is an operating system for work done by agents. Ask for an outcome and it builds an app, agent or automation that runs it for months, on your tools, on a budget you set. Today it runs go-to-market. Next: every job a company repeats.
This is the 2nd launch from MakersClaw. View more
Makersclaw 2.0
Launched this week
MakersClaw 2.0 turns a goal into the apps, agents and automations needed to get it done.
We originally launched MakersClaw as AI employees that lived in Slack, Teams and Telegram. We rebuilt it around a different idea: instead of hiring an agent for a role, tell MakersClaw what you want done. It builds the tools for the job, runs them continuously, remembers the work and operates within a budget you set.
Today it starts with go-to-market
Free Options
Launch Team / Built With
Seems like kind of the level of automation we have at grm.sh for feature delivery setup. So I wonder, did you manage to automate the whole tool lifecycle, with no human-in-the-loop?
MakersClaw
@vorniches Approval is baked into the core of the platform. The agent can automate the whole tool lifecycle but gets the whole process approved from the user first :)
MakersClaw
@vorniches We're not chasing that. The build and the runs are automated end to end, but the first runs of anything new go to you for review and the important decisions sit behind approval: it's learning your company at that point, and that's when you want a say. Whatever runs unattended after that is capped by a budget you set, so the worst case is that it stops and comes back to you.
ProductBridge
The idea of giving an agent a goal instead of just a task is really interesting. The part about it continuously running and building the workflows it needs around that goal is especially compelling.
Curious to see how this evolves as more real-world workflows get added. 🚀
MakersClaw
@rohithreddy We are definitely working towards use cases and scenarios where agent can work towards a goal and adapt and learn and achieve it. We have seen examples of it, time to achieve it at scale.
MakersClaw
@rohithreddy The evolving part comes down to which workflows people actually hand us first, so if you've got one in mind, that would be great!