What Palantir gets right
On Palantir's approach to building a product that can scale to a wide customer base.
On Palantir's approach to building a product that can scale to a wide customer base.
How reasoning traces can help AI agents be more transparent and engaging.
How we built tailored RAG pipelines in close collaboration with a flagship customer for our Agent Assist drafting functionality.
Our email auto-reply agents autonomously solve support tickets before they hit your queue.
We don't hire fast, but when we do, we go all in.
Moving beyond traditional metrics to gain deeper insights into support quality and customer experience.
Introducing real-time policy violation detection to help enterprises maintain compliance and build trust in their AI customer support agents.
The physicality of the medium makes the small wins all the more tangible and worth the daily grind.
How Markprompt ensures uninterrupted service through robust fallback mechanisms and multi-provider redundancy when LLM providers experience outages.
Our founding engineer Elliot Dauber shares his experience using Effect to build reliable AI systems at Markprompt in his first conference talk.
Voice agents bring the same intelligence and capabilities of text-based agents to voice interactions.
Exploring how we balance optimizing LLM architectures for today's capabilities while staying adaptable to rapid model improvements.
Welcome to our Founding Engineer Elliot Dauber!
Vercel integrated AI into their support workflow. Their AI agent reduced human-handled tickets by 31%, allowing them to maintain high support standards while serving a growing customer base.
Why the future of software isn’t about choosing between building or buying, but finding the right partner to build with.
Like technical debt in code, knowledge base debt accumulates when support documentation becomes outdated, inconsistent, and difficult to maintain.