Rigid prompts limited AI to isolated tasks. Now, a central reasoning model coordinates agents to plan and execute complex workflows.
A collaborative workspace platform that had previously integrated AI for writing assistance and search functions across its product suite.
Users began expecting AI to manage complete end-to-end workflows, but the existing architecture relied on rigid prompt chains incapable of complex...
“We didn’t want to retrofit the system. We needed an architecture that actually supports how reasoning models work.”
A new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.
AI research and deployment company developing generative models and tools.
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Teams lost hours hunting for data. AI Q&A now answers queries instantly using workspace context, saving 10 minutes per search.
Complex tool calls broke earlier models. Claude now navigates nested data, enabling agents to drive 3-5x productivity gains for clients.
Legacy bots deflected queries but resolved just 30%. Rebuilding with reasoning agents doubled the rate of true resolutions.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.