Cadr@cadr_ai

Your AI coworker. Emails. Follow-ups. Sales support. Ops help. Guardrails built in. cadr.ai 🦅⚡

cadr.ai
Joined March 2026
2 Photos and videos
just rolled out a sick simulation and feedback training feature in @cadr_ai and our users are losing their minds.
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1/ AI adoption inside companies is still treated too much like software deployment. Give people access. Connect a few systems. Expect productivity to appear. That is not how organizations work. Work moves through roles, handoffs, approvals, context and communication.
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5/ AI should be onboarded more like a remote employee than a plug in. It needs a role, a reporting line, a defined scope, approved tools, written rules, expected outputs and a clear boundary between routine execution and human judgment.
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6/ Good remote work practices have already solved part of this. GitLab’s remote operating model emphasizes asynchronous communication, written documentation, public context and clear transfer of ownership. Those are the conditions under which AI can coordinate work reliably.
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Excited for this one!
Agnes AI
@AgnesOg
May 2
Super excited to be organizing Africas first @clawcon in Nairobi in June! Lets bring together a community of builders in Kenya! @openclaw @steipete luma.com/yzha6rew?tk=gBTyzZ
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AI productivity unlock is not the all-purpose agent. It is the role-based agent: narrow enough to be reliable, structured enough to follow the org’s rules, and smart enough to reason within a specific job architecture.
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We have to stop thinking of AI as tool, but rather what roles can it fill and how?
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Cadr retweeted
Cadr@cadr_ai
Apr 23
A lot from Whartons Blueprint for AI Agent adoption speaks to our thesis. We believe agents mirroring organizational design principles is key to unlocking AI agent productivity in the corporate setting.
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Hello everyone hawkclaw is Cadr now
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The mistake is treating AI as a feature inside existing systems. Work inside SMEs is not defined by tools, it is defined by roles. If AI does not own a workflow end to end, it does not solve the coordination problem.
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Most companies are integrating AI into tools, that improves fragments of the work. The real shift is treating AI as an employee that owns a role. A system helps you do tasks faster. An employee takes responsibility for an outcome. SMEs need the latter.
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The assumption that AI replaces white collar work misses how SMEs actually operate. These businesses are already running below required staffing levels. AI fills coordination and execution gaps that were never hired in the first place and improves overall output.
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For a very large number of SMEs AI adoption will be driven simulating human interaction, such as AI acting as a remote employee.
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Reinventing remote workers as AI employees is a game changer, SMEs are overworked and underfunded - these are the resources people need - not jobs taken.
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The reason we separate remote AI employees with different skillsets, is that we find this to be the most efficient way for more accurate output. Less decay in quality, clear guardrails and stronger learning within its domain.
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Making AI work within existing workflows and adopt organizational habits is the fastest way towards mainstream business adoption.
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