CHAI

What is CHAI

CHAI is a conversational generative AI platform that empowers anyone to build, interact with, and share AI chat experiences. With over 1.5M daily active users and $20M in revenue, it focuses on high‑engagement, creator‑driven content. Under the hood, CHAI applies proven techniques such as RLHF, supervised fine‑tuning (SFT), prompt engineering, rejection sampling, LLM routing, LoRA adapters, and long‑context support to align models with creator intent. Simple publishing, feedback, and iteration loops help turn ideas into engaging AI characters.

CHAI Key Features

• No‑code creator studio: Build AI characters and chatbots with guided workflows for prompts, tone, and behavior.
• Long‑context conversations: Maintain richer memory and continuity for more natural multi‑turn dialogue.
• Alignment toolkit: Apply RLHF, SFT, LoRA, and rejection sampling to steer responses toward creator intent.
• Prompt management: Version prompts, use templates, and structure system/user instructions for consistency.
• LLM routing: Dynamically choose models or routes to balance quality, latency, and cost.
• Safety and moderation: Content filters, guardrails, and policy controls to reduce harmful or off‑brand output.
• Feedback and analytics: Collect ratings, review transcripts, and A/B test variations to improve engagement.
• Publishing and sharing: Distribute experiences via links or embeds and surface them to communities.

Who Should Use CHAI

CHAI suits creators, hobbyists, community managers, and teams who want to design character‑driven chat, roleplay, or interactive storytelling. It also fits marketers testing conversational concepts, indie developers prototyping companions, and researchers exploring alignment methods like RLHF, SFT, and LoRA in real‑world chats.

How to Use CHAI

1. Sign up and create a new AI character or chatbot.
2. Define goals, audience, personality, and guardrails for the experience.
3. Draft system prompts and example dialogues; add content policies and refusal patterns.
4. Select models or enable LLM routing; configure long‑context limits as needed.
5. Optionally attach LoRA adapters or apply SFT/RLHF feedback workflows.
6. Test chats, collect ratings, and use rejection sampling to filter weak outputs.
7. Publish and share; embed or promote within relevant communities.
8. Monitor analytics and iterate on prompts, routes, and safety settings.

CHAI Industry Use Cases

- Media and entertainment: character companions for fandom engagement and interactive story arcs.
- Communities and social: themed roleplay bots that increase session time and retention.
- Education and training: study partners and scenario practice with controlled tone and safety rules.
- E‑commerce and CX experiments: brand‑aligned conversational guides for discovery or onboarding.
- Research and prototyping: rapid trials of RLHF, prompt strategies, and long‑context behaviors.

CHAI Pricing

CHAI offers plan options suited to individual creators, teams, and larger deployments. Pricing, usage limits, and any trials may change; visit the official website for the latest details and plan comparisons.

CHAI Pros and Cons

CHAI FAQs

• Does CHAI support long‑context memory?

  Yes. CHAI experiments with long‑context setups to sustain more coherent multi‑turn conversations.

• Can I align my bot with a specific style or policy?

  CHAI provides RLHF, SFT, prompt engineering, LoRA adapters, and rejection sampling to guide tone, behavior, and safety.

• How does LLM routing help?

  LLM routing selects different models or paths by task, optimizing for response quality, speed, and cost.

• Is coding required to get started?

  No. You can create and iterate using the no‑code tools; advanced users can layer in more technical workflows as needed.