Because everyone needs a blog. right?
Product
Most AI agents are built to react. The real bottleneck isn't what your agent knows about your product—it's what it knows about this user, right now, on this screen. Introducing the Interactive Agent SDK.
Case Study
ContactWorks automated provider verification for a healthcare client, saving thousands of hours and cutting costs by 20x—then optimized model costs by an additional 8x.
Strategy
Most AI pilots stall due to misaligned success criteria, shallow data integration, and missing feedback loops. Here’s what works instead.
Customer Support
Shelfware chatbots don’t solve L3 problems or reduce recontact rates. Teams need controllable systems, not generic copilots.
AI
Search-native models change how agents retrieve, ground, and verify information in real time.
Product Insights
Conversation intelligence surfaces broken journeys, hidden feature demand, and the real reasons customers churn.
Engineering
We compare tool-calling across models inside a Swarm-style architecture, detailing routing, handoffs, and failure modes.
Customer Support
Support can be a data refinery: converting conversations into product insights, revenue signals, and risk detection.
Postmortems
When agents hit production, the real challenges are data quality, evaluation coverage, and human overrides.
Voice
Voice-native agents are finally viable: latency, interruptibility, and integration depth are crossing the threshold.
Launch
We launched BotDojo with a focus on evaluations and synthetic data for faster, safer iteration.