September AI Recap
September made one thing increasingly clear: the AI race is moving beyond models. OpenAI and Microsoft pushed toward persistent agents, major enterprise platforms moved to connect agents with data and infrastructure, and the industry put greater emphasis on controlling how autonomous AI operates. The next phase of AI isn't just about what a model can generate, it's about what AI can actually do inside a business.
New From Rival
October Product Update
This month, we're introducing two new capabilities that help move AI beyond answering questions and into everyday work: Knowledge Bases and Rival Rooms.
One gives AI access to the expertise that makes your organization unique. The other gives people and AI agents a place to work together.
Knowledge Bases: Turn Expertise Into AI-Powered Digital Twins
Every company has access to increasingly powerful AI models. What those models don't have is your expertise.
Rival Knowledge Bases let organizations and individuals put proprietary knowledge, methodologies, experience, and institutional intelligence to work inside AI agents and workflows.
Users can build Knowledge Bases from research, frameworks, presentations, transcripts, training materials, and other sources. But this goes beyond giving an LLM documents to reference.
Knowledge Bases can capture the context and methodology behind the work, the questions an expert asks, the trade-offs they consider, examples of previous decisions and the lessons that shape their recommendations.
That expertise can then guide how Rival agents perform tasks and execute workflows, creating an AI-powered digital twin of expertise that can work even when the expert isn't in the room.
For enterprises, that means preserving institutional knowledge and making it available across the organization. Instead of repeatedly relying on senior employees for routine guidance, their expertise can help teams prepare, make decisions and complete work at scale.
Experts can also publish and monetize Knowledge Bases through the Rival Marketplace, turning proprietary methodologies and expertise into reusable AI assets.
Your knowledge becomes something AI can put to work.
Rival Rooms: Where Humans and AI Work Together
As AI takes on more work, a new question emerges: Where do humans and AI actually work together?
That's what Rival Rooms is designed to solve.
Rival Rooms are shared workspaces where people and AI agents collaborate around work in real time.
Think of the familiar experience of team chat, except AI agents aren't sitting on the sidelines waiting for someone to prompt them. They're participants in the work.
Agents can share updates, ask questions, request information and bring the right person into the conversation when human input is needed. If work is blocked, an agent can ask for what it needs. When something requires review or approval, the appropriate person can step in. Once the answer is provided, the AI can keep working.
It creates a more natural model for human-in-the-loop AI:
AI handles the work. Humans provide judgment, approvals, and expertise when needed.
From Knowledge to Work
Knowledge Bases and Rival Rooms address two important pieces of the same challenge.
Knowledge Bases give AI your expertise.
Your organization's methodologies, institutional knowledge and experience provide context that generic AI models don't have.
Rival Rooms give AI a place to work with your team.
People and agents can collaborate, resolve questions, and keep work moving without separating AI from the conversations where decisions actually happen.
Together, they move us closer to the future we're building at Rival: AI that doesn't just know more or generate more.
AI that knows your business, works with your people, and helps get work done.