Robotics software typically demands large teams. Claude Code writes 90% of the codebase, letting Gambit ship a working prototype in days.
A consumer robotics startup founded by former Google and MongoDB executives developed an intelligent device to guide home cooks through real-time recipe execution.
Cooking requires managing complex variables like heat changes and partial camera views while interacting with users who often deviate from...
“People primarily want assistance to make cooking easier, quicker, and to get better results, not end-to-end automation.”
AI kitchen assistant for real-time cooking guidance and stove monitoring.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Development dragged for weeks on raw prototypes. Claude now turns ideas into polished, production-ready applications in hours.
Context-blind prompts slowed development. An AI agent now reasons across the full codebase to plan and execute complex tasks instantly.
Adopting new languages inflated project costs. Now, developers use AI trained on internal code to write and debug unfamiliar languages.
Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
Latency made robots too slow for the real world. A multi-agent system now coordinates vision and movement at human speed.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Manual order entry caused pricing errors and billing disputes. Now, an AI agent flags discrepancies and drafts client emails for staff.
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.
Robotics software typically demands large teams. Claude Code writes 90% of the codebase, letting Gambit ship a working prototype in days.
A consumer robotics startup founded by former Google and MongoDB executives developed an intelligent device to guide home cooks through real-time recipe execution.
Cooking requires managing complex variables like heat changes and partial camera views while interacting with users who often deviate from...
“People primarily want assistance to make cooking easier, quicker, and to get better results, not end-to-end automation.”
AI kitchen assistant for real-time cooking guidance and stove monitoring.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Development dragged for weeks on raw prototypes. Claude now turns ideas into polished, production-ready applications in hours.
Context-blind prompts slowed development. An AI agent now reasons across the full codebase to plan and execute complex tasks instantly.
Adopting new languages inflated project costs. Now, developers use AI trained on internal code to write and debug unfamiliar languages.
Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
Latency made robots too slow for the real world. A multi-agent system now coordinates vision and movement at human speed.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Manual order entry caused pricing errors and billing disputes. Now, an AI agent flags discrepancies and drafts client emails for staff.
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.