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.
Related implementations across industries and use cases
Managers lost hours stitching spreadsheets. Collaborative AI agents now track dependencies and surface summaries to drive human decisions.
Mapping workflow logic once took weeks. Now, users build autonomous Claude agents in minutes to reason through multi-step tasks.
Manual routing slowed 1M+ inquiries. GenAI agents now resolve routine tickets, cutting resolution time by 34%.
Isolated tools bottlenecked remote work. Now, Slack emojis trigger code merges and prototypes launch live in customer calls.
Code fixes piled up in backlogs for months. Now, an autonomous Claude agent generates, tests, and submits validated pull requests.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
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.
Related implementations across industries and use cases
Managers lost hours stitching spreadsheets. Collaborative AI agents now track dependencies and surface summaries to drive human decisions.
Mapping workflow logic once took weeks. Now, users build autonomous Claude agents in minutes to reason through multi-step tasks.
Manual routing slowed 1M+ inquiries. GenAI agents now resolve routine tickets, cutting resolution time by 34%.
Isolated tools bottlenecked remote work. Now, Slack emojis trigger code merges and prototypes launch live in customer calls.
Code fixes piled up in backlogs for months. Now, an autonomous Claude agent generates, tests, and submits validated pull requests.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.