OpenGiant

Why we built this

OpenGiant started while we were building a different AI product. We kept running into a problem that didn't have a name yet: giving the agent a personality that actually sounded like the brand.

The work itself wasn't hard. The problem was where it lived. Personality tuning happened in system prompts, prompt management tools, engineering workflows. The people who could do it well were engineers who had studied prompt engineering. The people who should have been doing it — product leads and founders — couldn't touch it without making a commit.

That's backwards. How an AI talks to customers is a product decision. It shouldn't require a code change.

So we started building internal tools to fix it. That's when the second problem showed up. Without guardrails, someone tuning personality could bloat the context window or accidentally derail what the agent was supposed to do. There was no separation between "how should this sound" and "what should this do." The personality layer and the task layer were tangled together.

We built the separation. OpenGiant became its own product, designed for the exact problem we kept hitting.

How it works

OpenGiant is a personality management system for AI. Think of it as a CMS, but instead of managing web content, you're managing how your AI communicates.

Three primitives make up the system. Style control defines the baseline: tone, formality, empathy, humor. You set the parameters that make your AI sound like your brand, not like a default chatbot. Behaviors are real-time rules that adapt responses based on context and sentiment. A frustrated customer gets a different response than an excited one, automatically. Contextual knowledge gives your AI the background it needs — company facts, product details, interaction history — so responses stay accurate and grounded over time.

Everything runs through a unified API that works with Anthropic, OpenAI, Cohere, and other providers. Your engineering team integrates once. Your product team tunes from there.

What makes it different

Prompt management tools exist. Brand voice features exist inside content platforms. None of them treat AI personality as its own product concern.

Jasper and Writer have brand voice features, but they're designed for content generation. Writing blog posts and marketing emails. They don't touch how a live agent behaves in conversation. Prompt management tools like Langfuse and PromptLayer give teams version control over prompts, but personality is just another string in a text field. There are no guardrails, and nothing separates personality from task logic.

OpenGiant is the dedicated system. Non-technical teams get a place to define and tune AI personality without risking the agent's core behavior. Personality stays separate from task logic, and the people closest to the brand get to shape how the AI represents it.

91% of ML systems degrade over time. Agents drift. They start the day professional and end the day casual, with nothing changed in configuration. A dedicated personality system holds the voice steady.

Where it's headed

AI personality in software is a real problem worth solving. But the bigger opportunity is physical.

AI is moving into the real world. NVIDIA is shipping foundation models for humanoid robots. Consumer robots are hitting preorder. Service robots are already deployed with designed personalities. One recently shipped with a deliberately snarky disposition, because personality is a product decision even when the product has legs.

As that market grows, every hardware creator building something that interacts with people will face the same question: what personality should this thing have? And they'll face it without the tools to answer it well.

That's where OpenGiant goes. The same system that gives a customer service chatbot its brand voice gives a hospital robot its bedside manner.