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How Focused Labs builds a culture for continuous growth and ensures team members get the skills and opportunities they need.

Master a few key techniques, from vector embeddings to testing patterns for AI, to help you more efficiently build AI chatbots.

Stepping into the world of AI, I quickly grasped the enormous potential of domain-specific chatbots. My team and I crafted a smart AI chatbot tailored for the Focused Labs website — not just a simple chat interface, but a comprehensive “Knowledge Hub” that leverages natural-language models. Here are the top six insights I uncovered during the process, from orchestrating multiple AI models to thinking less like a programmer and more like a linguist.

Why Focused Labs love Lightning Talks and how your organization can integrate them into your events as novel team building opportunities.

Discover how to elevate your AI app with streaming technology. Learn practical tips for seamless idea generation and improve your user experience.

In the world of technology, it's easy to be lured by the promise of a brand new system. But tales of cost overruns, schedule slippages, and features left undelivered are common regardless of industry. That's why organizations should be looking for innovative ways to maximize their existing systems — tapping into underutilized modules and reengineering key components so old systems can produce new results.

Digital modernization gets all the attention, promising new technologies and efficiencies. But all that glitters isn't gold, especially in technology. When budgets are limited and business operations can't be interrupted by a lengthy cut-over, maximizing your existing legacy systems to their full potential can be the true win-win your team has been looking for.

Discover how to elevate your AI app with streaming technology. Learn practical tips for seamless idea generation and improve your user experience.

“What should we build next?” is the essential product management question — and one of the hardest. Here are 13 non-mainstream techniques for uncovering your next killer product or feature idea, from studying customer misbehavior and running JTBD-style interviews to leveraging extreme questions and opportunity backlogs.

No matter how long you've been in the digital transformation consulting business, getting dropped in the middle of an organization to take on a big project can be daunting. There are politics, personalities, and a lot of people to juggle. But there's also plenty of opportunity if you know where to look. Here are actionable tactics for navigating enterprise organizations and delivering the best outcomes.

AI leverages both new and existing UX patterns; learn which patterns to use when designing AI interfaces.

Chatbots like ChatGPT run on Large Language Models that use statistics to figure out what words to string together. Sometimes they're wrong — and they don't know it. Those convincing but incorrect answers are called hallucinations. So how do you deal with them? From data cleaning and prompt engineering to LLM settings and source citations, here are the practical levers you can pull to improve accuracy.

This article introduces the concept of prompt engineering — and more specifically, programmatic prompt engineering — and how it relates to building applications with Large Language Models. Small changes to an LLM prompt can have a big impact on accuracy and value. We'll show how techniques like persona matching and instructor-based prompting can dramatically improve results without relying on the end user to craft the perfect question.

Learn how to leverage LLMs to build a domain specific AI chatbot

Expert Programming does not mean you know everything, but that you know how to find the answers you need.

Mobile App Development panel discussion at RLC 2023 with Lettuce CMO Jennifer Bell: Strengthening Customer Loyalty with a Digitized Dining Experience