Joseph Cobhams πŸ‡³πŸ‡¬ (@jcobhams) 's Twitter Profile
Joseph Cobhams πŸ‡³πŸ‡¬

@jcobhams

Ajuya's Husband

ID: 615034584

calendar_today22-06-2012 07:48:26

12,12K Tweet

1,1K Followers

447 Following

Joseph Cobhams πŸ‡³πŸ‡¬ (@jcobhams) 's Twitter Profile Photo

Some Nigerians and trying to explain or justifying incompetence is infuriating. Maybe systems like 911 or 999 are only in the movies.

Damian Tran (@damianvtran) 's Twitter Profile Photo

Deep research competitor analysis with Local Operator Cost me less than $1, was helpful to highlight a spectrum of players in the agentic AI space

Damian Tran (@damianvtran) 's Twitter Profile Photo

Want to get a team of AI agents assembled around you in 1 click? It's possible now for all Local Operator users with the Radient Agent Hub πŸ¦Έβ€β™‚οΈ The community can now publish and download conversationally-trained agents in a couple clicks. Got something working that learned to

Damian Tran (@damianvtran) 's Twitter Profile Photo

Agent to agent delegation in action in Local Operator My freelance research agent tagged in a Twitter specialist agent to come up with content inspo based on the latest trends from a diverse range of source I didn't need to ask it at all to do this which was the cool part

Agent to agent delegation in action in Local Operator

My freelance research agent tagged in a Twitter specialist agent to come up with content inspo based on the latest trends from a diverse range of source

I didn't need to ask it at all to do this which was the cool part
Damian Tran (@damianvtran) 's Twitter Profile Photo

I don't know who needs to hear this but stop micromanaging Your goal as a manager is to multiply your effort 1:10 Micromanaging is 1:1 effort. You're burning yourself and your team out Find ways to provide autonomy: create 10 units of work from 1 unit of instruction

Joseph Cobhams πŸ‡³πŸ‡¬ (@jcobhams) 's Twitter Profile Photo

I’ve found there are two main syntax preferences: Symbol Heavy ( | > *& ::) b.each do |a| |> actOn a |> apply -> someFunc end Word Heavy (fn, range, return, if, for) for a in b { return actOn(a).apply(someFunc) } I find the languages with the first harder to learn

Damian Tran (@damianvtran) 's Twitter Profile Photo

The next paradigm in agentic AI automation is transforming AI assistance from reactive to proactive. That's why I launched Agent Schedules: the first of a series of proactive background agentic features in Local Operator, powered by Radient You can now ask your agents to work