Coworker AI

<p>Hey Product Hunt 👋</p><p></p><p>We keep hearing the same thing on repeat: enterprise AI token costs are exploding.</p><p></p><p>Orgs that were spending $500K/year in December are spending $15M/year in May.</p><p></p><p>And CFOs are starting to ask the same question: do we cut back AI spend, or cut heads?</p><p></p><p>Coworker gives organizations a third choice: <strong>more AI, less spend.</strong></p><p></p><p>Coworker delivers the same frontier-quality chat, cowork, and code for 80% less. We do that by pairing every task with the right context and model for the job - open or closed.</p><p></p><p>That means you get the same output quality as Opus 4.7, but 5x the tokens for the same spend versus Anthropic or OpenAI API rates across:</p><p></p><p><strong>Chat</strong> - grounded in your company's real context and a persistent knowledge graph</p><p><strong>Build</strong> - docs, decks, pdfs, real-time dashboards, apps or any artifact and share across your org</p><p><strong>Code </strong>- any arbitrary task in a virtual sandbox</p><p><strong>Agents</strong> - automate workflows end to end with long-running agents and complex triggers</p><p><strong>Meet</strong> - meeting summaries, transcripts, and follow-up actions via a meeting notetaker or ambient transcription</p><p><strong>Enterprise-ready</strong> - all models hosted in the US, SOC 2, pen-tested, 30+ enterprise connectors</p><p></p><p>We're getting things started by giving everyone who signs up this week 500 credits on us. And if you sign up in the next 24h you'll get an additional 200 credits.</p><p></p><p>Head over to <a href="https://Coworker.ai" target="_blank" rel="nofollow noopener noreferrer">Coworker.ai</a> - I can't wait to see what you build.</p><p></p><p>Alex</p>

<p>congrats nigel and team!</p>

<p>I'm Nigel, one of the team here. 👋</p><p></p><p>We're excited to bring <a href="https://Coworker.ai" target="_blank" rel="nofollow noopener noreferrer">Coworker.ai</a> 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!</p>

<p>Context-aware routing is the piece most teams skip when they're trying to cut AI costs. </p><p>they either over-engineer a manual decision tree or just default to GPT-4 for everything. Curious how you handle routing decisions when a query sits ambiguously between tiers, like something that <em>looks</em> simple but actually requires nuanced reasoning. Also wondering what the latency overhead looks like from the routing layer itself. But anyway, I find it very interesting</p><p></p><p>congrats on launch!</p>