For over a decade, Mike has driven AI innovation at AnswerRocket and developed Max AI, a pioneering AI agent platform. As co-founder of StellarIQ – the parent company of AnswerRocket and Max AI – he now leads the broader mission of helping vertical SaaS companies become AI-powered market leaders, deploying production-scale AI solutions for Fortune 500 organizations.
The promise of data democratization, where anyone in an enterprise can get answers from complex data, is compelling. Generative AI and text-to-SQL tools are at the heart of this vision, offering a future where you can simply ask a question and get a data-backed answer. We’ve had clients ask about connecting these tools to vast
Text-to-SQL: Can LLMs Really Generate Safe, Accurate SQL? Read More »
Co-authored by Stew Chisam, Operating Partner, StellarIQ Your best developer just built a production-ready application last weekend. They can’t explain how half of it works. Your product managers are shipping prototypes without involving engineering. And somehow, productivity is up 10X. Welcome to vibe coding: the shift that’s rewriting the rules of software development while you’re
Vibe Coding: What CTOs Need to Know About AI-Assisted Development Read More »
TL;DR: Deep research AI turns a chatbot into an agent that investigates in loops, checking its own work for accuracy and completeness and using tools to gather more data until the answer is exhaustive. It delivers the most value on high-stakes questions like business monitoring, strategy, and knowledge-heavy investigations. The trade-off is cost and time:
Deep Research AI: What It Is, How It Works, and Why It Matters Read More »
Co-authored by Andy Sweet, VP of Enterprise AI Solutions We are asked to fix broken enterprise AI PoCs literally every day. After countless engagements, we’ve identified clear patterns in why AI initiatives fail and, more importantly, how to fix them. Here’s what we’ve learned. Why Are So Many AI Proofs of Concept Failing? Integrating AI
Why AI Proof of Concepts Fail (And What To Do About It) Read More »
The Evolution of AI Interaction As artificial intelligence continues to revolutionize enterprise operations, three key protocols have emerged to standardize how AI systems communicate and collaborate: Model Context Protocol (MCP), Agent-to-Agent Protocol (A2A), and Agent Communication Protocol (ACP). These protocols represent a significant evolution beyond earlier approaches and offer new possibilities for enterprise AI integration.
Understanding AI Agent Protocols: MCP, A2A, and ACP Explained Read More »
Our leadership team shares their collective vision for how autonomous agents and enterprise AI will reshape business in 2025. The Dawn of True Agentic AI A transformative shift in enterprise AI agents is underway. While many companies currently label their solutions as “agentic,” 2025 marks the emergence of truly autonomous AI agents with genuine agency.
How Agentic AI Will Transform Enterprises in 2025 Read More »
We’re standing on the brink of a monumental shift in software development. Gartner’s prediction that AI will soon move from assisting programmers to autonomously generating most of the code is a glimpse into a future that’s closer than many realize. AI-powered tools like GitHub Copilot are already making waves, but this is just the beginning.
The Rise of AI-Generated Code: Revolutionizing Software Development Read More »
If you haven’t taken AI models like OpenAI’s o1 seriously, now is the time. You might be about two years behind in understanding the profound capabilities that large language models (LLMs) like o1 bring to the table. GPT-2 may have been your last chance to remain a skeptic, but with the arrival of o1 (or
Introduction Recent advancements in artificial intelligence have not only reshaped how we interact with technology but also how businesses operate and innovate. Key players like Microsoft, OpenAI, and Snowflake are at the forefront of this transformation, each pushing the boundaries of what’s possible with AI. Let’s take a look at the strides made by these
Introduction California’s SB 1047 legislation has emerged as a pivotal development in the AI space. This proposed law mandates that companies investing over $100 million in training “frontier models” of AI, such as the forthcoming GPT-5, must conduct thorough safety testing. This legislation raises critical questions about the liability of AI developers, the impact of
AI Safety and Regulation: Navigating the Frontier of Technology Read More »
First Impressions on GPT-4o The new model is largely about an interface change. Before now, GPT was fueled by inputs in its original text prompt format, and more recently with images. GPT-4o opens up the possibility of GPT acting more like a smart speaker, listening, understanding, and responding all in one go. It seems to
Exploring GPT-4o and The Future of Conversational AI Read More »
