Cached prompts failed dynamic voice chats. Rebuilding context every turn via GPT-5.1 cut memory misses 30% and lifted retention 20%.
A voice-first software platform serving more than 200,000 monthly active users who engage in open-ended, personalized dialogue with animated characters.
Voice interactions require near-instant latency, yet users constantly shift topics midstream, rendering standard prompt caching ineffective. The...
“We saw the rise of ChatGPT and knew voice was the next frontier. But voice is harder. You’re not just responding to typed prompts; you’re holding a live, meandering conversation.”
AI-powered virtual companion app for emotional support and conversation.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Building agents required weeks of manual logic and 3,000-token prompts. Now, GPT-4o manages the flow, letting teams go live in days.
Early outputs felt like awkward translations. Now, slang-fluent personas drive a lifestyle AI platform for 6.5M users.
Engineers spent weeks manually sharding. A serverless RAG pipeline now auto-scales 100 million vectors.
Building agents required weeks of manual logic and 3,000-token prompts. Now, GPT-4o manages the flow, letting teams go live in days.
Triggering hundreds of calls at once caused lag. A low-latency model now supports 500+ simultaneous lines with instant reactivity.
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.
Cached prompts failed dynamic voice chats. Rebuilding context every turn via GPT-5.1 cut memory misses 30% and lifted retention 20%.
A voice-first software platform serving more than 200,000 monthly active users who engage in open-ended, personalized dialogue with animated characters.
Voice interactions require near-instant latency, yet users constantly shift topics midstream, rendering standard prompt caching ineffective. The...
“We saw the rise of ChatGPT and knew voice was the next frontier. But voice is harder. You’re not just responding to typed prompts; you’re holding a live, meandering conversation.”
AI-powered virtual companion app for emotional support and conversation.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Building agents required weeks of manual logic and 3,000-token prompts. Now, GPT-4o manages the flow, letting teams go live in days.
Early outputs felt like awkward translations. Now, slang-fluent personas drive a lifestyle AI platform for 6.5M users.
Engineers spent weeks manually sharding. A serverless RAG pipeline now auto-scales 100 million vectors.
Building agents required weeks of manual logic and 3,000-token prompts. Now, GPT-4o manages the flow, letting teams go live in days.
Triggering hundreds of calls at once caused lag. A low-latency model now supports 500+ simultaneous lines with instant reactivity.
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.