Microsoft just released the AI Diffusion Report The 24-page report is filled with the latest on development, infrastructure and adoption. The fastest adoption in human history The top adopters are small, wealthy nations Product development drives massive adoption

It took someone 48 hours to clone DocuSign. This sparks two questions every leader should be asking themselves: 1) How fast can someone vibe code your product? 2) How good is your distribution engine? What are other questions should leaders be asking?

This year, Vercel found 100,000+ AI projects vulnerable due to security risks. Most companies won't find the leaks until it's too late. As a trusted AI partner for industry leaders, we made the decision to get SOC 2 certified. Best practices still matter.

A huge congrats to the team at FanDuel for winning gold at The Clios this week! We're proud to have played a part in bringing the technology of ChuckGPT to life. Security, guardrails, and scalability, to name a few. Here's to many more 🏆

"Where should I implement AI first?" This matrix is your answer. Business Value Actionability Feasibility

The tool with the least friction always wins.

The OpenAI device is coming

When AI "searches the web" Where does it go? Here's your answer. The channel that matters most for you will depend on your business, but it's definitely worth paying attention to.

OpenAI is targeting Slack next? Last week, they announced Group Chats. You will be able to chat with your friends, family, or coworkers AND ChatGPT at the same time. But, is this something companies or even individuals could actually see themselves using?

Not everything is an "AI Agent" Here's the breakdown: Level 1 - AI Tools Usually a 1-to-1 ratio prompt to action. Level 2 - AI Agents This creates a 1-to-many ratio of prompts to actions. Level 3 - Agentic AI This is where you unlock agents creating other agents.

AI should be an equalizer, but instead it's creating an even larger gap between SMBs and Enterprise. According to McKinsey's new study on AI, majority of companies making less than $100 million in annual revenue are still "experimenting" with AI.

99% of companies are stuck in the "Valley of AI Despair". They were initially excited about what AI could do for their business, but expectation hasn't been reality. Where is your company on the AI Implementation Journey?

We're excited to share that NineTwoThree has won the Fall 2025 Clutch Global Award as a top AI implementation partner. This includes awards related to projects in: - AI Agents - Generative AI - Machine Learning Here’s to continued collaboration in 2026.

Happy Holidays from all of us at NineTwoThree!

AI works. We have multiple 6-figure products delivering 7-figure results. We know it sounds crazy. But when you start focusing on what's realistic and possible with AI, instead of following AGI...you get results.

CEOs using AI: Chasing the latest tool – Claude, OpenClaw, the newest GPT – is a distraction. MIT reports 95% of AI projects never leave pilot because teams focus on tools, not outcomes. Start with your biggest bottleneck. Set clear KPIs. Then pick the AI that solves it.

Replacing employees with AI is not the goal. The goal is focusing more time on Work That Matters Most (WTMM). That's the vision that excites us.

Vibe coding a beautiful UI takes seconds. Vibe coding a usable app with RLS, authentication, integrations, edge cases and scalability for ACTUAL USERS (beyond yourself) could take months.

ChatGPT is making the Yahoo mistake. In 1999, Google simplified the search bar to help you get to other sites. In 1999, Yahoo had hundreds of links on the homepage, all designed to keep you on Yahoo. ChatGPT has to figure out how to align incentives, or its ads will fail.

We recently saw an AI project proposal where the client told us the proposals they got were "between $20,000 and $280,000." For the exact same project. From a client standpoint, that is bonkers. How do you judge a good proposal from a bad one?