Alex Calder @ATCalder

CEO @coworkerapp previously @uber coworker.ai San Francisco, CA Joined January 2011

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Alex Calder @ATCalder

13 hours ago

@KenWattana Incentives are not aligned

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Alex Calder @ATCalder

19 hours ago

@scottastevenson @Alfred_Lin Please go try app.coworker.ai on optimised and let me know if you still think this

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Alex Calder @ATCalder

21 hours ago

Enter companies like @coworkerapp that pair every task with the right context and model to do the job at frontier quality for the lowest cost.

Business Insider @BusinessInsider

21 hours ago

Sam Altman said AI budgeting has recently become a "huge issue" for some companies, something that "never came up" earlier this year. bit.ly/4uxIGnv

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Alex Calder @ATCalder

a day ago

@sqs I am not sure this ‘aggregate token cost is still greater’ argument still holds with Kimi k2.6, especially when paired with a sonnet/opus advisor it can call if need be

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When you ask AI to do something, you’re contracting out work. Today there are 1-2 contractors. Open models launching at frontier quality, eg kimi k2.6, is going to make this a giant marketplace problem.

Aaron Levie @levie

2 days ago

As token budgets take on a larger part of operating expenses over time, model routing is the inevitable conclusion. This is also one of the biggest areas of differentiation for the applied AI layer over time. By understanding the different work patterns in your domain, and

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Alex Calder @ATCalder

2 days ago

@levie @coworkerapp app.coworker.ai if you want to check it out

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Alex Calder @ATCalder

2 days ago

Agree, except for ‘we’re still likely at the point where most use-cases will need frontier performance for the foreseeable future’ - at @coworkerapp we route chat, cowork, agent tasks across open and closed models depending on task (or even subtask). Our optimised mode is 75% cheaper than opus while maintaining frontier quality.

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Alex Calder @ATCalder

2 days ago

@amir 👋

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Alex Calder @ATCalder

2 days ago

@BrendanFoody we should chat

Business Insider @BusinessInsider

2 days ago

"Right now we're spending more on tokens for our internal agents than we are on employee head count," Mercor's CEO Brendan Foody said. bit.ly/4uObeKg

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Alex Calder @ATCalder

2 days ago

@garrytan worth checking out coworker.ai that optimally routes across open and closed models while preserving context for the chat/cowork use cases

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Alex Calder @ATCalder

2 days ago

@TechCrunch @coworkerapp is the solution to this for enterprises btw

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Alex Calder @ATCalder

2 days ago

@Jason I am once again directing you towards app.coworker.ai

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Alex Calder @ATCalder

2 days ago

@buythedipagain @negligible_cap @coworkerapp 'economies of scale' - Opus 4.8 at $5/m in and $25/m out and 2.5 chars/token... go try app.coworker.ai and see for yourself

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Alex Calder @ATCalder

2 days ago

@rabois @rabois @coworkerapp doing this across chat, cowork, agents. 5x more tokens for enterprises while maintaining frontier quality.

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Alex Calder @ATCalder

2 days ago

👀 why limit budget when you can get 5x frontier tokens for the same spend by dynamically routing across open and closed models. @coworkerapp

Techmeme @Techmeme

2 days ago

Uber says it has limited all employees to $1,500 in monthly token spending per AI coding tool "to responsibly encourage agentic AI adoption" (@natlungfy / Bloomberg) (Visit Techmeme dot com for the link and full context!)

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Alex Calder @ATCalder

2 days ago

this is where products like @coworkerapp that dynamically route across open and closed models while maintaining enterprise security and context are huge. 80% token cost savings for same quality outputs

Negligible Capital @negligible_cap

2 days ago

*UBER SETS $1,500 MONTHLY CAP ON SOME AI CODING TOOLS FOR STAFF $UBER officially reeling in the Claude budget after blowing their AI budget earlier this year. Undoubtedly more companies to follow

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Alex Calder @ATCalder

2 days ago

enter products like @coworkerapp that dynamically route to the best open / closed models. average 80% cheaper while maintaining frontier AI

Flowee @FloweeTheHub

2 days ago

Now it looks like AI subscriptions were always running at a loss and the companies have to massively increase their costs to break even. Was it all just a ploy to make people addicted to the usage of AI and the fear of being unproductive again the lever to extract the monies?

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Alex Calder @ATCalder

2 days ago

@AnnieLiao_2000 this is why the winner here will be platforms like @coworkerapp that intelligently route across any model while maintaining context. also 80% savings b/c most things dont need opus.

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Alex Calder @ATCalder

2 days ago

this is why the winner here will be products like @coworkerapp that allow you to intelligently route across any model while maintaining enterprise context

Annie ❤️‍🔥 @AnnieLiao_2000

2 days ago

Deploying AI in enterprise is a mess right now. We watched one company spend 8 months going in circles: Month 1: Copilot (bundled in, seemed free) Month 2: Rolled out ChatGPT to 20% of staff because Copilot underperformed Month 3: Both tools sitting at ~20% adoption.