Stephen J. Kinzey, Ph.D. (@SKAmerica) header
Stephen J. Kinzey, Ph.D. (@SKAmerica) profile picture

AI Business Consultant | Founder, SK America LLC | Ph.D. | Building practical AI systems, agents, automation & software that solve real business problems.

California
Joined January 2012
Your thoughts aren't lost. They're untracked. ThoughtStream runs every thought through a ledger: CAPTURED → REFINED → CONFIRMED. Each state change logs an EvidenceEvent - who moved it, why, when. Then AI scans the ledger for patterns you'd never catch manually. Link in reply. #BuildInPublic #KnowledgeManagement
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ChatGPT’s link tagging reportedly broke Oct 8-15, so those visits landed in Direct. Not a real drop. Annotate GA4 first. Google moved links higher in AI answers on October 15. Get 2 weeks of Search Console data before promising traffic. Evidence before promises. #GA4 #SEO #OPENAI #ChatGPT
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Your thoughts aren't lost. They're untracked. ThoughtStream runs every thought through a ledger: CAPTURED → REFINED → CONFIRMED. Each state change logs an EvidenceEvent - who moved it, why, when. Then AI scans the ledger for patterns you'd never catch manually. Link in reply. #BuildInPublic #KnowledgeManagement
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Stephen J. Kinzey, Ph.D. retweeted
One of the most powerful things I’ve ever seen. If you haven’t seen this before, you need to stop and watch it. This is everything.
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Built GetListingLaunch with @base44: an AI marketing platform for real estate agents. It turns property data into listing copy, social campaigns, Fair Housing-scanned content, and print-ready flyers in under 10 minutes. Agents were spending 10+ hours per listing on that. Free tier + 14-day trial: getlistinglaunch.com
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Stephen J. Kinzey, Ph.D. retweeted
Base Code is live. Give your team a shared cloud environment for your existing codebase. See active sessions, jump into branches, open live previews, and review every change. More people can build. Engineering owns the merge.
Today we’re introducing Base Code. It’s an early preview of how we think software will be built in the future. It’s a product that encapsulates everything we’ve learnt from: - How our users are building software. - How we’re building internally, scaling to hundreds of millions of dollars in revenue while keeping our engineering team very small and focused. Here are some of the principles behind it, which align with how we at @Base44 think about the future of software engineering: Cloud: - Software will move past local desktop environments (where current tools are widely used) and move to the cloud. - Moving everything to the cloud is not easy. Setting up dev environments with databases, infra components, services, mock data, etc. is easier said than done. - Base Code first scans your code repo and sets up everything - every infra component (databases, Redis, etc.) - in the cloud. It runs nonstop until your preview environment is ready. - From an enterprise standpoint, it’s also the logical thing to do: a centralized, governed dev environment instead of handing out keys and secrets to all team members. - Once Base Code does that, EVERY team member can work in this environment. No more syncing local environments. Internally, this (cloud) is one of the main things that enabled us to move so fast. Collaboration: - Once everything is in the cloud, everybody can write software from anywhere (any browser, your phone, WhatsApp / iMessage coming soon). - You can easily see what everyone is working on, where they’re at, and how they’re prompting - and jump to their environment in one click. - We’ve built many great collaboration features from the ground up. Loops, automations, software factories: - A full, working cloud environment allows for many advanced capabilities we will unveil soon-think agents running in the browser and testing on every device and in any browser. - It also allows the use of automations to build software factories-e.g., agents reading support tickets, identifying bugs to fix or features to develop, implementing the changes, verifying them in the cloud, and potentially pushing them. And lastly, there’s a real advantage in being model agnostic. -------------- As always, we’re releasing it very early. It’s far from perfect-but we’re looking for early feedback so we can build it together with our great community and make this vision a reality. *We’re giving it away for free for 30 days*. Give Base Code a try. Connect any GitHub repo, get your live preview, and share it with your team. I’d love to hear what works and what doesn’t: app.base44.com/base-code
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Stephen J. Kinzey, Ph.D. retweeted
Today we’re introducing Base Code. It’s an early preview of how we think software will be built in the future. It’s a product that encapsulates everything we’ve learnt from: - How our users are building software. - How we’re building internally, scaling to hundreds of millions of dollars in revenue while keeping our engineering team very small and focused. Here are some of the principles behind it, which align with how we at @Base44 think about the future of software engineering: Cloud: - Software will move past local desktop environments (where current tools are widely used) and move to the cloud. - Moving everything to the cloud is not easy. Setting up dev environments with databases, infra components, services, mock data, etc. is easier said than done. - Base Code first scans your code repo and sets up everything - every infra component (databases, Redis, etc.) - in the cloud. It runs nonstop until your preview environment is ready. - From an enterprise standpoint, it’s also the logical thing to do: a centralized, governed dev environment instead of handing out keys and secrets to all team members. - Once Base Code does that, EVERY team member can work in this environment. No more syncing local environments. Internally, this (cloud) is one of the main things that enabled us to move so fast. Collaboration: - Once everything is in the cloud, everybody can write software from anywhere (any browser, your phone, WhatsApp / iMessage coming soon). - You can easily see what everyone is working on, where they’re at, and how they’re prompting - and jump to their environment in one click. - We’ve built many great collaboration features from the ground up. Loops, automations, software factories: - A full, working cloud environment allows for many advanced capabilities we will unveil soon-think agents running in the browser and testing on every device and in any browser. - It also allows the use of automations to build software factories-e.g., agents reading support tickets, identifying bugs to fix or features to develop, implementing the changes, verifying them in the cloud, and potentially pushing them. And lastly, there’s a real advantage in being model agnostic. -------------- As always, we’re releasing it very early. It’s far from perfect-but we’re looking for early feedback so we can build it together with our great community and make this vision a reality. *We’re giving it away for free for 30 days*. Give Base Code a try. Connect any GitHub repo, get your live preview, and share it with your team. I’d love to hear what works and what doesn’t: app.base44.com/base-code
🤖 Made with AI
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A WordPress flaw rated 9.2/10 (CVE-2026-87902) was attacked the same day its fix shipped, Sept 22. CISA listed it as actively exploited Sept 25. Not every site is exposed. It needs a theme folder starting with "page-". Check anyway. Update: 7.1.2, 7.0.6, 6.9.9 or 6.8.10.
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Stephen J. Kinzey, Ph.D. retweeted
𝐓𝐡𝐢𝐬 𝐂𝐥𝐚𝐮𝐝𝐞 𝐛𝐨𝐭 𝐨𝐧 𝐏𝐨𝐥𝐲𝐦𝐚𝐫𝐤𝐞𝐭 𝐦𝐚𝐝𝐞 $78,083 𝐢𝐧 5 𝐝𝐚𝐲𝐬. Nobody built it to be smart. Developer built it to be fast. $LIKE flows shared: $7 → $3,595 $30 → $11,063 $142 → $13,356 $1,205 → $37,939 [𝐍𝐨𝐭𝐞: Must Follow me: @ai_uncovered (To Get Auto DM)] According to the breakdown, the logic wasn’t complex: • Track BTC price movements • Compare them with Polymarket odds • Enter when pricing is misaligned • Exit when the gap closes The idea is simple: Not “be right” — just “be faster than the adjustment.” While traders analyze charts… the system executes in loops. While decisions are being made… the edge may already be gone. While humans hesitate… automation compounds. I found this interesting enough to break down the structure behind it. If you want the full breakdown and flow logic: To get access: • Like this post • Repost • Comment “ Data ” • Must Follow me: @ai_uncovered (To Get Auto DM)
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I just published The HIPAA Compliance Playbook for AI Tools: What Most Teams Get Wrong stevekinzey.medium.com/the-h…
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I just published The HIPAA Compliance Playbook for AI Tools: What Most Teams Get Wrong medium.com/p/the-hipaa-compl… #AI #HIPAA #Compliance
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Stephen J. Kinzey, Ph.D. retweeted
I come back to this speech every week
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