Reinforced Learning

Tips and tricks we've picked up along the way.

Why Reliable AI Chatbots Need Deterministic Architecture
AI FeaturesChatbots

Why Reliable AI Chatbots Need Deterministic Architecture

AI chatbots can look incredibly capable in a demo. But production environments ask much more from AI than a demo ever does. The strongest production AI systems are rarely built around a chatbot acting independently. They work best when LLMs help interpret language while deterministic systems control execution, validation, and real business outcomes.

Designing Deterministic AI Chatbots
AI FeaturesChatbots

Designing Deterministic AI Chatbots

Many organizations are exploring how Generative AI chatbots could improve customer service and operational workflows. But once chatbots are introduced into real production workflows, the problem becomes much more complicated. Here's the architectural pattern that worked.

Using GenAI to Optimize Case Study Creation Without Losing Editorial Control
AI DevelopmentContent Creation

Using GenAI to Optimize Case Study Creation Without Losing Editorial Control

Case studies are high-value content, although they are challenging to produce consistently. This is where the value of GenAI appears. Instead of treating LLMs as standalone writers, we treat them like tools that help reduce cognitive load by architecting repeatable, efficient editorial workflows.

Josh Proto

Cloud Strategist

How a Multiplayer Game Was Built in One Day (And Won the Hackathon)
Gen AIAI Development

How a Multiplayer Game Was Built in One Day (And Won the Hackathon)

During a recent internal hackathon, our dev teams set out with a clear constraint: build a game that's playable, online, and real in a single day. By the end, they had shipped 6 online multiplayer games, with the winner being a multiplayer Minesweeper complete with spectators, chat, and real-time updates.

Josh Proto

Cloud Strategist

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