We attended AI Agent Week in Austin, Texas last month and gave a talk to a full room with one simple promise: by the end of my talk, every attendee would understand how to set up their own agentic AI workflow using Retrieval-Augmented Generation (RAG).
I’ve been in the AI space since 2012. At my previous AI marketing tech company, ReSci, I was the first hire and it took us nearly a decade to build, ultimately acquired by Constant Contact—the #1 platform for email marketing. With Katara, we’re moving much faster and developing software that is even more powerful: connecting AI agents together into Agentic Workflows that deliver meaningful business value.
Katara is an agentic workflow platform that allows teams to spin up and manage a fleet of smart agents that automate community Q&A, content generation, documentation updates, data ingestion, and more—across platforms like Discord, Slack, Telegram, and soon, many more channels.
A lot of teams are struggling to implement LLMs in a way that feels practical. Here’s what we’ve seen:
So we built Katara with three critical componets to Agentic Workflows:
The magic? It all starts with data enrichment—classification, tagging, routing, and refinement. That’s what powers high-performing AI agents.
Let me give you a peek under the hood.
We’ve already deployed Katara with early adopters like Partisia, Morpheus, and Wire Network—and they’re seeing serious impact.
Take our Q&A agent: just a few years ago the industry leading chatbots could accurately answer only 40% of questions. They were trained on static data sets using tens of thousands of rows of data. Today, with RAG-powered enrichment on top of LLM's, Katara achieves close to 90% accuracy—automatically resolving developer and community support issues in seconds.
Another core feature: our documentation generator. It monitors GitHub, detects code changes, updates documentation automatically, and even shows you diffs to approve. One dev rel now has the power of four.
Creating a Katara agent is as easy as:
Your corpus grows over time. Your agents get smarter. In the near future, we’ll support multi-collection querying—meaning you can have one collection in your knowledge base connected to one Q&A agents, and seperate connected to a different Q&A agent. This means you could potentially have one for your internal team that is used by your team (HR, legal, leadership) and a totally separate one for external users that is customer facing (marketing, sales, support).
We’re rolling out personalization for tone, voice, and even brand identity. You'll be able to assign expert roles so we can priorities their responces and train the agents on how they answer. Want your bot to sound like Anton from Morpheus? Done. We’re also adding more channels and our upcoming website widget.
And yes—confidence scoring is built in. You can control when an agent replies based on how confident it is in its answer, ensuring high quality and relevance.
We launched a new builder subnet on Morpheus. Here’s how it works:
You’re not spending the tokens—they’re staked. It’s a triple win: value for you, emissions reduction for the network, and alignment for us all.
If you’re an API-centric company or a dev rel team, Katara is a revenue acceleration tool. We remove the bottlenecks so developers don’t context-switch, get stuck, or wait weeks for answers.
To get started reach out to hello@katara.ai you want a walk-through. We’re live, we’re scaling, and we’re making it easier than ever to deploy AI agents that don’t just answer questions—they understand your community.
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By James Hotson, Co-Founder of Katara
