NineTwoThree
@923_studio
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π©π»βπ» 60 Custom web & mobile apps π 14 Successful startups 2οΈβ£ 2x Inc. 5000 π₯ Boston mobile development agency https://t.co/xkghtlslX0
Boston, MA
Joined March 2021
A proven playbook that has driven 14 internal startups and 50 client apps to one billion dollars β
More than 50 experts with a decade of experience β
Leading development agency in Boston β
Ready to build your appβ
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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: -Β AI Agents -Β Generative AI - Machine Learning Hereβs to continued collaboration in 2026.
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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?
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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.
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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.
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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?
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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.
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"Where should I implement AI first?" This matrix is your answer. Business Value Actionability Feasibility
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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 π
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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.
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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?
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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
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This list can predict your success with AI: 1. Clarity of Objective 2. Technical Capacity 3. Data Readiness 4. ROI Expectations 5. Executive Buy-in 6. Project Scope 7. Success Metrics 8. Risk Awareness See if your company is truly AI ready: https://t.co/iHl0uV3iA0
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If you gave me $1 and I could give you $10 back, how much would you give me? The same reason companies spend millions on ads every month is the same reason companies should be investing millions into AI (the right way).
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"I can't trust AI" That's because you expected a $1 solution to deliver a $100k result. This is an oversimplification of how investments in AI work, but it gives you an idea of what it looks at different levels.
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Yesterday @OpenAI announced ChatGPT Atlas - the browser with ChatGPT built in. We've been testing it out and for the first time I could actually see myself switching from Google Chrome if all the extensions carry over. Could you see yourself leaving Chrome?
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