Embed AI into Your Product
In today’s market, software without embedded AI is quickly becoming legacy software. To remain competitive, you need to seamlessly integrate intelligence directly into your user's workflow. But building LLM infrastructure from scratch can take months.
Why Embed AI Directly?
Rather than forcing your users to copy-paste data into ChatGPT, embedding AI allows your product to maintain context. Whether it's a co-pilot that understands the current page state or an AI search that parses your proprietary docs, native integration is the gold standard for user experience.
The 3-Line Integration Strategy
<script src="https://embedai.dev/embed.js"></script>
<div id="copilot-root"></div>
<script>
EmbedAI.init({
token: 'EPHEMERAL_TOKEN',
mount: '#copilot-root'
});
</script>
By using a drop-in JavaScript tag, you bypass the need for backend restructuring. You can point the AI to your specific documentation, tickets, or internal API endpoints and go live in minutes.
Key Benefits of Using EmbedAI
- Contextual Awareness: The AI knows exactly where the user is in your application.
- Action-Oriented: Trigger internal workflows and UI changes via natural language intent.
- Enterprise-Ready: SOC2 compliant infrastructure with zero-retention data policies.
- Model Agnostic: Plug in OpenAI, Claude, Gemini, or Llama-3 with your own keys.