Coworker AI
More AI for less spend with context-aware model routing
377 followers
More AI for less spend with context-aware model routing
377 followers
Same AI. 5x the tokens. Coworker provides deep company context and automatically routes to the right model for every task. More chat, cowork and code with the same spend.
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Launch Team / Built With
Congrats on the launch @alex_calder, very timely! Upvoted :)
So is this about storing memory/context efficiently to avoid agents running same queries again and again? Or you have a mechanism to stop agents from traversing some paths because you somehow figure out that is dead end?
Coworker AI
@aiswarya_s great question - the organizational memory layer does eliminate redundant work: context from past conversations, decisions, and actions is stored and surfaced so agents (and humans) aren't re-running the same queries or re-deriving the same answers.
Context-aware routing is the right framing for AI cost. Most teams overpay because everything gets sent to a flagship model when a smaller one would do the job. How does Coworker AI decide when a task is simple enough to downroute without degrading output quality?
Coworker AI
@dhiraj_patel5 our organizational memory layer classifies the task before a model is even picked. Looks at complexity, error cost, how much context is needed. So you're not downrouting, you're just routing correctly from the start.
@dhruv_kapadia Ah! Interesting
Context-aware routing is a smart play. AI costs scale fast when teams use the same heavy model for everything from summarizing notes to complex reasoning. We've been building in the AI customer success for B2B SaaS space, and Coworker AI touches on something we think about a lot. How does the company context layer stay updated as org structure or products change?
Coworker AI
@shivam_jaiswal36, our organizational memory continuously ingests from 50+ connectors so it updates as things change in the source, not on a sync schedule. Role changes, deal updates, doc edits, all automatic. Permissions inherit from the source too. What are you building?
Smart approach to model routing — the cost problem with AI tools is real. Curious how it decides between models when the task is ambiguous? Does it let you override the routing manually?
Coworker AI
@ravishankarai_official, when it's ambiguous we default up to the more capable model, false downgrades are way more visible to users than false upgrades. And yeah you can override manually, pick the model yourself or rerun with a different one to compare outputs.
How is this implemented technically? Do you use cheaper models for simple tasks and more expensive ones for complex tasks, so that on average you get a lower cost? Or did you just deploy something Chinese on your own server?
Coworker AI
@natalia_iankovych Our primary agent defaults to frontier open models. It has subagents that can delegate up or down to advisors or subagents using a mixture of open or closed models. And we have an inbuilt review mechnism. This allows us to min cost holding quality at frontier or greater. And no, nothing is hosted in China - everything is in the US.
@alex_calder
Two quick questions as I dig in:
1. When the routing classifier is uncertain, does Coworker default "up" to a stronger model (costlier but safer) or "down" to save tokens? And is that threshold configurable per org?
2. On the feedback loop: if a cheaper model returns a plausible-but-suboptimal answer, is there a signal that flags "this got routed cheap, and the output may have degraded," or does it rely on the user noticing and hitting rerun?
Asking because routing quality you can't measure post-hoc slowly drifts, and that measurement loop feels like the real moat. Following along closely.
Coworker AI
I'm Nigel, one of the team here. 👋
We're excited to bring Coworker.ai to the world. Would love to hear from anyone who's already hit their AI spend wall, curious what the breaking point looked like for you/your org. And happy to answer any questions on how the credit system or model routing works under the hood!
Arcade
@kohnigel Congrats on the launch Nigel, looks amazing!
Coworker AI
@aleksfaure thank you!!
@aleksfaure @kohnigel Arcade product demo of course!
@kohnigel Sick product demo! Amazing and scary how productive people will be using this tech. Congrats on the launch Nigel!
Coworker AI
@jameshsun thank you my man!