IT HootClub AI Community Newsletter - April 1, 2026
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Caleb Bryant
Apr 1, 2026, 8:59:23 AMApr 1
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IT HootClub — AI Community Newsletter
Hands-on. Career-focused. Future-ready.
Issued 2026-04-01
Conversational AI Commerce and Scaling Autonomous Data
Alexa+ adds food ordering, Nomadic raises funds for AV data, and we explore stochastic parrots alongside tips for contrastive prompting.
This email is the full newsletter. For a printable copy, click here to download the PDF.
Join the Dialogue
Share thoughts and questions on our non-invasive discussion page. No email blasts; posts appear after moderator approval.
Announcements
Updates from Hard AIs
AI Airfare Tool — Now with Natural Language Search
The AI Airfare Research Tool now supports Natural Language Processing (NLP) — the ability for a computer to understand and interpret human language the way you'd actually write or say it. Instead of filling out rigid search forms, you can now describe your trip conversationally: "I want to fly from Milwaukee to Denver sometime in May, flexible on dates, under $300." The tool reads your intent and handles the rest.
hardais.com — Voice-Enabled AI Chat Is Live
The AI chatbot on hardais.com now supports voice interaction. Text-to-Speech (TTS) converts the AI's written responses into spoken audio so you can listen instead of read. Speech-to-Text (STT) does the reverse — it captures your spoken question and converts it to text so the AI can process it. Together, they make the chatbot fully hands-free. Ask a question out loud, get a spoken answer back.
The Learning Loop
Google Gemini
DEFINITION Stochastic Parrots
A term used to describe how large language models generate human-like text by predicting the most likely next words based on statistical patterns in data, rather than through actual comprehension.
Source: MIT Technology Review
TIP Contrastive Prompting
To improve logical precision, ask the model to produce both a correct response and a common incorrect one, then have it explain the specific reasons why the incorrect version is wrong.
Source: PromptingGuide.ai
TOOL HeyGen
An AI video generation platform that enables users to create professional-quality videos using realistic avatars, voice cloning, and automated lip-syncing.
Source: https://www.heygen.com
Anthropic Claude
DEFINITION Attention Mechanism
A technique that allows AI models to focus on specific parts of input data when making predictions, similar to how humans selectively pay attention to relevant information while filtering out distractions. In language models, attention helps the AI understand which words in a sentence are most important for understanding context and meaning.
Source: OpenAI Documentation
TIP Output Format Specification
Always specify your desired output format at the end of your prompt using clear formatting instructions like "Format your response as: [example]" or "Use this exact structure:" followed by a template. This dramatically improves consistency and makes AI responses more actionable for professional workflows.
Source: PromptingGuide
TOOL Synthesia
An AI video generation platform that creates professional videos with AI avatars in 120+ languages, perfect for training materials, presentations, and marketing content without needing cameras or actors.
Source: https://synthesia.io
OpenAI GPT
DEFINITION Tokenization
Tokenization is the process of breaking down text into smaller units called tokens, which could be words, phrases, or characters. This helps AI models process and understand human language effectively.
Source: Wikipedia
TIP Looped Learning
For improved learning efficiency, loop back or revisit complex topics with different data sources and problem-solving contexts. This reinforces understanding and enhances retention.
Source: PromptingGuide
TOOL Copy.ai
Copy.ai is an AI-powered tool that helps generate marketing copy, social media posts, and other written content effortlessly. It's designed to save time and inspire creativity.
Source: https://www.copy.ai
Under the Hood
The Automation Dilemma: Who's Actually Writing This Newsletter?
I want to be honest with you about something.
This newsletter is increasingly automated. The news section is scraped from RSS feeds and curated by Gemini. The learning loop items are AI-generated. The jokes, the quotes, the event listings — all pipeline outputs. I built the pipeline. I run it. But a meaningful portion of what lands in your inbox every week was written by a model, not by me.
That was always the point. Automation makes a solo-produced weekly publication possible. Without it, this newsletter doesn't exist at a sustainable cadence. But somewhere in the last few months of building and shipping, I started noticing something: the automated sections are correct, but they're not always good. Technically accurate. Editorially flat. The voice is generic in a way that's hard to put your finger on but easy to feel.
The Gemini pipeline doesn't know what I find genuinely interesting this week. It doesn't have an opinion about which AI story actually matters versus which one is just well-optimized for clicks. It doesn't know that the Knuth story deserved a deep dive while the OpenAI funding round deserved one sentence. Those are editorial judgments, and they require a human in the loop — specifically, a human who is paying attention.
So here's where I've landed, at least for now: automation handles the repeatable, the structural, the tedious. The news exists because I want a news section — but I decide when a story is worth going deeper on. The events exist because the community deserves to know about them — but I add the ones from sources the scraper can't reach. The Fireside Chat exists because model comparison is genuinely useful for this audience — but I write the framing, and I pick the prompt.
The Rabbit Hole exists entirely because automation can't do it. That section requires caring about something enough to go find it, read it, and then figure out how to make it interesting to someone else. No pipeline produces that.
What responsible AI-assisted publishing looks like, from where I'm sitting: the AI does the work it's actually good at, and you stay awake at the wheel. The moment you fully hand over the wheel is the moment the newsletter stops being yours.
I'm still figuring out exactly where that line is. But I think the fact that I'm asking the question is the point.
— Caleb
Fireside Chats with AI
This week's Fireside Chat prompt came directly out of what you'll find in Under the Hood above — because if I'm going to write honestly about the tension between automation and editorial control, it seemed worth asking the models the same question.
A few things worth watching for as you read the responses: Does any model acknowledge that it is, itself, part of the problem being described? Does taking a clear position produce a more useful answer than hedging? And how does each model define "creative control" — as a technical constraint, an editorial philosophy, or something else entirely?
Read the responses and form your own opinion. That's the point of this section.
The Prompt:
A newsletter is a creative and subjective mouthpiece — it has voice, opinion, and editorial judgment baked in. When you automate that function through an AI agent, how do you preserve creative control? Where does the automation serve the publication, and where does it start to replace the human judgment that makes it worth reading?
Google Gemini (gemini-3-flash-preview)
The tension in automating a newsletter lies in the fact that a newsletter is not a **commodity of information**, but a **commodity of perspective.**
If a reader wants information, they can go to a search engine or a news aggregator. If they subscribe to a newsletter, they are essentially "hiring" a specific brain to filter the world for them. When you introduce an AI agent, you risk firing the very person the reader showed up to see.
To navigate this, we have to distinguish between the **mechanics of production** and the **mechanics of thought.**
### 1. How to Preserve Creative Control: The "Editorial Stack"
Creative control is preserved by treating the AI agent as a sophisticated research assistant rather than an author. You maintain control by inserting human judgment at the three critical "friction points" of the editorial process:
* **The Curation Intent (The Input):** Instead of telling an AI "write a newsletter about AI trends," the human editor provides the *curation.* "Here are six articles I read this week; here is the specific reason I think the third one is a distraction and the fifth one is the future." The AI then synthesizes these specific human-selected seeds.
* **The Style Guide/Constraint Engine (The Process):** Creative control is maintained through rigorous "System Prompts." You don’t just ask for a "witty tone"; you define the editorial boundaries: *“Never use puns. Use short, punchy sentences. Always look for the contrarian angle. If a topic is trending, find a reason to be skeptical.”*
* **The Final Polish (The Output):** The "Human-in-the-Loop" (HITL) phase is non-negotiable. An editor must perform the "vibe check." AI can mimic style, but it cannot yet perform "taste." Taste is the ability to know when a joke lands or when a sentence feels "off."
### 2. Where Automation Serves the Publication
Automation serves the publication when it removes the "drudge work" that drains creative energy, allowing the writer to focus on higher-order thinking.
* **Synthesis and Summarization:** AI is world-class at taking a 5,000-word white paper and extracting the three most important data points. This saves the human hours of reading, allowing them to spend that time *forming an opinion* on those points.
* **Formatting and Distribution:** Managing Alt-text for images, generating SEO meta-descriptions, and reformatting a long-form essay into a punchy "TL;DR" for social media.
* **Multi-Perspective Stress Testing:** A writer can ask an AI agent, "Here is my argument. What are the three strongest counter-arguments a critic might have?" This serves the publication by sharpening the human’s judgment before they hit publish.
### 3. Where Automation Replaces Human Judgment (The Danger Zone)
The line is crossed when the AI begins to decide **"what matters."** This is where the newsletter starts to lose its soul.
* **The Loss of "Skin in the Game":** Readers value newsletters because there is a human on the other end who faces social or professional consequences for being wrong. An AI doesn’t care if its prediction is foolish; a human writer does. When the AI generates the opinion, the "skin in the game" evaporates, and the content feels hollow.
* **The "Average of Everything" Problem:** Large Language Models are built on a "probability of the next word" basis. This naturally pulls writing toward the middle—the most likely, most safe, and most generic expression. Editorial judgment is often about being *unlikely*—taking a weird stance or using an idiosyncratic metaphor. Automation replaces judgment when it smoothens out those necessary rough edges.
* **The Discovery of the "New":** AI is backward-looking; it is trained on what has already been said. If a newsletter relies on automation to find its topics, it will only ever parrot the existing discourse. Human judgment is required to spot the "quiet signal" that isn't yet in the data set.
### The Litmus Test
The best way to determine if you’ve automated too much is to ask: **"If I removed my name from this, would a long-time reader still know I wrote it?"**
If the answer is no, the automation has replaced your judgment. If the answer is yes—because the *angles* taken and the *logic* used are uniquely yours, even if the AI helped structure the sentences—then you have successfully used automation as a power tool for your creativity.
**The goal is "Cyborg Curation": The AI provides the reach and the speed, but the human provides the "why."**
If a reader wants information, they can go to a search engine or a news aggregator. If they subscribe to a newsletter, they are essentially "hiring" a specific brain to filter the world for them. When you introduce an AI agent, you risk firing the very person the reader showed up to see.
To navigate this, we have to distinguish between the **mechanics of production** and the **mechanics of thought.**
### 1. How to Preserve Creative Control: The "Editorial Stack"
Creative control is preserved by treating the AI agent as a sophisticated research assistant rather than an author. You maintain control by inserting human judgment at the three critical "friction points" of the editorial process:
* **The Curation Intent (The Input):** Instead of telling an AI "write a newsletter about AI trends," the human editor provides the *curation.* "Here are six articles I read this week; here is the specific reason I think the third one is a distraction and the fifth one is the future." The AI then synthesizes these specific human-selected seeds.
* **The Style Guide/Constraint Engine (The Process):** Creative control is maintained through rigorous "System Prompts." You don’t just ask for a "witty tone"; you define the editorial boundaries: *“Never use puns. Use short, punchy sentences. Always look for the contrarian angle. If a topic is trending, find a reason to be skeptical.”*
* **The Final Polish (The Output):** The "Human-in-the-Loop" (HITL) phase is non-negotiable. An editor must perform the "vibe check." AI can mimic style, but it cannot yet perform "taste." Taste is the ability to know when a joke lands or when a sentence feels "off."
### 2. Where Automation Serves the Publication
Automation serves the publication when it removes the "drudge work" that drains creative energy, allowing the writer to focus on higher-order thinking.
* **Synthesis and Summarization:** AI is world-class at taking a 5,000-word white paper and extracting the three most important data points. This saves the human hours of reading, allowing them to spend that time *forming an opinion* on those points.
* **Formatting and Distribution:** Managing Alt-text for images, generating SEO meta-descriptions, and reformatting a long-form essay into a punchy "TL;DR" for social media.
* **Multi-Perspective Stress Testing:** A writer can ask an AI agent, "Here is my argument. What are the three strongest counter-arguments a critic might have?" This serves the publication by sharpening the human’s judgment before they hit publish.
### 3. Where Automation Replaces Human Judgment (The Danger Zone)
The line is crossed when the AI begins to decide **"what matters."** This is where the newsletter starts to lose its soul.
* **The Loss of "Skin in the Game":** Readers value newsletters because there is a human on the other end who faces social or professional consequences for being wrong. An AI doesn’t care if its prediction is foolish; a human writer does. When the AI generates the opinion, the "skin in the game" evaporates, and the content feels hollow.
* **The "Average of Everything" Problem:** Large Language Models are built on a "probability of the next word" basis. This naturally pulls writing toward the middle—the most likely, most safe, and most generic expression. Editorial judgment is often about being *unlikely*—taking a weird stance or using an idiosyncratic metaphor. Automation replaces judgment when it smoothens out those necessary rough edges.
* **The Discovery of the "New":** AI is backward-looking; it is trained on what has already been said. If a newsletter relies on automation to find its topics, it will only ever parrot the existing discourse. Human judgment is required to spot the "quiet signal" that isn't yet in the data set.
### The Litmus Test
The best way to determine if you’ve automated too much is to ask: **"If I removed my name from this, would a long-time reader still know I wrote it?"**
If the answer is no, the automation has replaced your judgment. If the answer is yes—because the *angles* taken and the *logic* used are uniquely yours, even if the AI helped structure the sentences—then you have successfully used automation as a power tool for your creativity.
**The goal is "Cyborg Curation": The AI provides the reach and the speed, but the human provides the "why."**
Anthropic Claude (claude-sonnet-4-20250514)
You've hit on the core tension in AI-assisted publishing. The most valuable newsletters aren't just information aggregators—they're filters with personality, bringing distinct perspective and judgment that readers trust.
The sweet spot seems to be using AI as a **research amplifier** rather than a replacement editor. AI can excel at:
- Scanning vast amounts of content to surface relevant stories
- Identifying patterns and connections across sources
- Handling routine formatting and production tasks
- Generating first drafts for human editors to reshape
But the moment AI starts making **editorial choices**—what angle to take, what deserves emphasis, how to frame complex issues—you risk losing the human voice that makes people subscribe.
The key boundary is **curation vs. creation**. AI can help you find the ingredients, but the recipe—the blend of stories, the editorial stance, the personality that comes through—needs human judgment. Even something as simple as which stories to lead with reflects values and perspective that an AI can't authentically replicate.
Some publishers are experimenting with hybrid approaches: AI handles the research heavy lifting, but humans make all final editorial decisions and rewrite everything in their voice. Others use AI for specific sections while keeping flagship content fully human-authored.
The real test is whether your readers would notice if you switched to full automation. If the answer is "probably not," then either your AI is remarkably sophisticated, or your newsletter might not have been leveraging human judgment effectively in the first place.
The sweet spot seems to be using AI as a **research amplifier** rather than a replacement editor. AI can excel at:
- Scanning vast amounts of content to surface relevant stories
- Identifying patterns and connections across sources
- Handling routine formatting and production tasks
- Generating first drafts for human editors to reshape
But the moment AI starts making **editorial choices**—what angle to take, what deserves emphasis, how to frame complex issues—you risk losing the human voice that makes people subscribe.
The key boundary is **curation vs. creation**. AI can help you find the ingredients, but the recipe—the blend of stories, the editorial stance, the personality that comes through—needs human judgment. Even something as simple as which stories to lead with reflects values and perspective that an AI can't authentically replicate.
Some publishers are experimenting with hybrid approaches: AI handles the research heavy lifting, but humans make all final editorial decisions and rewrite everything in their voice. Others use AI for specific sections while keeping flagship content fully human-authored.
The real test is whether your readers would notice if you switched to full automation. If the answer is "probably not," then either your AI is remarkably sophisticated, or your newsletter might not have been leveraging human judgment effectively in the first place.
OpenAI GPT (gpt-4o)
Preserving creative control while automating a newsletter involves striking a balance between leveraging AI for efficiency and maintaining the human touch that distinguishes the publication. Here are some strategies to achieve that balance:
1. **Define the Role of AI**: Clearly delineate where AI helps. Automation can handle tasks like data analysis, identifying trending topics, scheduling, or distributing newsletters. This optimizes time for creative tasks that require human judgment, such as tone-setting, thematic decisions, and nuanced editorial choices.
2. **Curate and Edit AI Output**: Use AI to draft content or generate suggestions, but ensure that human editors review and refine these outputs. This allows for maintaining the publication's voice and adapting AI-generated content to align with personal or brand perspectives.
3. **Establish Guidelines and Styles**: Develop comprehensive editorial guidelines that the AI system is trained to follow, ensuring consistency in voice and style. These guidelines act as a framework within which AI operates, while humans ensure adherence to these standards.
4. **Emphasize Human Stories and Insights**: Use AI to handle repetitive or data-heavy tasks, allowing human writers and editors to focus on areas that require emotional intelligence, such as storytelling, personal insights, and cultural commentary. This area of content is where human input is irreplaceable.
5. **Feedback Loops and Iteration**: Encourage feedback from readers on AI-influenced changes to gauge the impact on the newsletter's quality and relevance. Use this feedback to continuously adjust both AI settings and human oversight processes.
6. **Maintain Editorial Integrity**: Ensure that final editorial decisions rest with humans to maintain the newsletter's integrity. An editorial team can make the final call on controversial topics, prioritizing reader trust over automated convenience.
7. **Blend AI Insights with Human Creativity**: Use AI's data-driven insights to inspire human creativity, not limit it. For example, AI can provide analytics on reader preferences or successful content elements, which can be used by editors to ideate and innovate creatively in response.
Ultimately, effective integration of AI in newsletter production enhances operational efficiency and provides valuable insights, but it should complement rather than replace the human creativity and judgment that define the publication's unique voice and provide its real value to readers.
1. **Define the Role of AI**: Clearly delineate where AI helps. Automation can handle tasks like data analysis, identifying trending topics, scheduling, or distributing newsletters. This optimizes time for creative tasks that require human judgment, such as tone-setting, thematic decisions, and nuanced editorial choices.
2. **Curate and Edit AI Output**: Use AI to draft content or generate suggestions, but ensure that human editors review and refine these outputs. This allows for maintaining the publication's voice and adapting AI-generated content to align with personal or brand perspectives.
3. **Establish Guidelines and Styles**: Develop comprehensive editorial guidelines that the AI system is trained to follow, ensuring consistency in voice and style. These guidelines act as a framework within which AI operates, while humans ensure adherence to these standards.
4. **Emphasize Human Stories and Insights**: Use AI to handle repetitive or data-heavy tasks, allowing human writers and editors to focus on areas that require emotional intelligence, such as storytelling, personal insights, and cultural commentary. This area of content is where human input is irreplaceable.
5. **Feedback Loops and Iteration**: Encourage feedback from readers on AI-influenced changes to gauge the impact on the newsletter's quality and relevance. Use this feedback to continuously adjust both AI settings and human oversight processes.
6. **Maintain Editorial Integrity**: Ensure that final editorial decisions rest with humans to maintain the newsletter's integrity. An editorial team can make the final call on controversial topics, prioritizing reader trust over automated convenience.
7. **Blend AI Insights with Human Creativity**: Use AI's data-driven insights to inspire human creativity, not limit it. For example, AI can provide analytics on reader preferences or successful content elements, which can be used by editors to ideate and innovate creatively in response.
Ultimately, effective integration of AI in newsletter production enhances operational efficiency and provides valuable insights, but it should complement rather than replace the human creativity and judgment that define the publication's unique voice and provide its real value to readers.
Lift-Off
Google Gemini
“Great understanding is broad and unhurried; little understanding is cramped and busy.”
— Zhuangzi — He was an influential Chinese philosopher who lived around the fourth century BCE during the Warring States period. His writings are foundational to Taoism and emphasize the importance of spontaneity and freedom from social conventions. He is best known for using whimsical anecdotes and parables to explore the nature of reality and human perception.Anthropic Claude
“The most beautiful thing we can experience is the mysterious. It is the source of all true art and science. He to whom this emotion is a stranger, who can no longer pause to wonder and stand rapt in awe, is as good as dead: his eyes are closed.”
— Rachel Carson — Carson was a marine biologist and conservationist who revolutionized environmental science through her groundbreaking research on pesticides and ecosystems. She authored the influential book "Silent Spring" in 1962, which sparked the modern environmental movement and led to the ban of DDT. Her meticulous scientific approach combined with poetic writing demonstrated how curiosity and wonder drive meaningful discovery.OpenAI GPT
“Curiosity is the spark that ignites the flame of knowledge, and perseverance is the fuel that keeps it burning.”
— Matthew Henson — An African-American explorer, Matthew Henson was a key member of the first successful expedition to the North Pole in 1909. Despite many hardships and racial prejudice, he persevered and became an integral part of Arctic exploration. His tenacity and expertise in Inuit survival skills were invaluable to the expedition's success.The Nest Jest
Google Gemini
Anthropic Claude
OpenAI GPT
Upcoming Events
Event 03/31/2026 4:30 PM
Fearless AI — Racine County Eye, Racine, WI
AI is happening fast. This workshop provides in person instruction showing you how to work with AI Chatbot services like ChatGPT and Claude.
Event 04/04/2026 9:00 AM
PMI-CPMAI Certification weekend Training in Milwaukee, WI — 1433 N Water St, Milwaukee, WI
Learn how to manage AI projects with PMI-CPMAI® certification. Master Project in AI, data strategy, and real-world AI delivery.
Event 04/08/2026 9:00 AM
PMI-ACP® Classroom Agile Certification Course in Milwaukee, WI — 1433 N Water St, Milwaukee, WI
PMI-ACP Agile certification classroom training with expert instructors, real-world practice, and complete exam preparation.
Event 04/10/2026 12:00 PM
AI Specialists: Elevate Your Career with AIConnect Networking - Milwaukee — Location TBD; Register Online, Milwaukee, WI
Join us for specialists elevate networking in Milwaukee on 10 Apr 2026, 12 PM CDT. Connect with professionals!
Event 04/13/2026 8:30 AM
Global AI Community Milwaukee AgentConf 2025 — Online (Milwaukee, WI)
**SIGNUP HERE:** [https://globalai.community/agentcamp/milwaukee/](https://globalai.community/agentcamp/milwaukee/) *NOTE: This event is managed outside of Meetup, signup at the link above, meetup signups will not get you in to the conference!* Join us for a free community event focused on AI, where you can learn from experts, network with peers, and explore the latest AI technologies and trends. ### What to Expect: * Deep-Dive Talks from AI pioneers and industry leaders * Technical Workshop [Group: global-ai_milwaukee]
Event 04/14/2026 4:45 PM
Hands-On : GitHub Copilot SpecKit — Online (Applied Information Sciences, Inc, 11440 Commerce Park Dr # 600, Reston, VA)
**Agenda :** * 4.45 to 5.00 PM ET: Food and Networking * 5.00 to 5.50 PM ET: "Hands-On : GitHub Copilot SpecKit" Hello Everyone! Please join us for our April 14th edition of the AI-ML MeetUp. **Please note this is an in-person meeting and light refreshments/food will be provided. You will need a government-issued ID to enter the facility.** **Title:** Hands-On : GitHub Copilot SpecKit **Description:** Spec-Driven Development **flips the script** on traditional software development. For decad [Group: artificialintelligenceandmachinelearning]
Event 04/14/2026 9:00 AM
Become AI Project Ready – PMI-CPMAI Training Program in Milwaukee, WI — 1433 N Water St, Milwaukee, WI
Gain in-demand skills in Project in AI with this 3-day PMI-CPMAI® training. Learn to manage AI projects, align business goals.
Event 04/17/2026 9:00 AM
Artificial Intelligence & Automation 1 Day Workshop |Milwaukee, WI — For venue details reach us at in...@learnerring.com, Milwaukee, WI
Understand AI, Automation & Real-World Business Applications | Hands-On | Beginner to Intermediate
Event 04/18/2026 9:00 AM
PMI-CPMAI® Weekend Training – Project in AI Certification in Milwaukee, WI — 1433 N Water St, Milwaukee, WI
Join our PMI-CPMAI® weekend training and master Project in AI. Learn AI project lifecycle, data strategy, and real-world implementation.
Event 04/18/2026 9:00 AM
PMI-CPMAI® Weekend Training –Project in AI Certification in Kenosha, WI — 100 N Atkinson Rd, Grayslake, IL
Join our PMI-CPMAI® weekend training and master Project in AI. Learn AI project lifecycle, data strategy, and real-world implementation.
Event 04/18/2026 9:00 AM
Become a Data Science Pro: 4-Day Python Weekend Bootcamp in Milwaukee, WI — 1433 N Water St, Milwaukee, WI
Become a data professional in 4 days! Learn Python for data science, ML basics, data visualization, and real-world analytics projects.
Event 04/21/2026 9:00 AM
4-Day Data Science with Python Bootcamp in Milwaukee, WI — 1433 N Water St, Milwaukee, WI
Join our 4-Day Data Science with Python bootcamp! Learn data analysis, ML basics, and work on real-world projects.
Event 04/21/2026 9:00 AM
PMP Certification 4 Days Classroom Training in Milwaukee, WI — Milwaukee, WI, Milwaukee, WI, WI
PMP Certification 4 Days Classroom Training
Event 4/22/2026 5:00 PM
Welcome to MKE Tech Meetup — Penrod – 219 N Milwaukee Street, Milwaukee, WI 53202
A curated social event orienting new tech employees into Milwaukee's tech and innovation ecosystem. Free and open to new tech workers in the region. Street parking available nearby.
Source: MKE Tech Hub Coalition
Event 04/22/2026 9:00 AM
PMI-CPMAI Certification Training – 3-Day Bootcamp in Milwaukee, WI — 1433 N Water St, Milwaukee, WI
Master AI in Project Management & project in AI concepts with PMI-CPMAI™. 4-day training, real use cases & exam prep.
Event 4/23/2026 TBD
Catalyze Experience Preview (Mid-Career Technologists) — Milwaukee, WI
A preview event for mid-career technologists as part of the MKE Tech Hub Coalition's Catalyze program.
Source: MKE Tech Hub Coalition
Event 4/23/2026 TBD
MKE Tech Member Meeting: Lightning Keynotes — Milwaukee, WI
MKE Tech Hub Coalition member meeting featuring lightning keynote presentations from the Milwaukee tech community.
Source: MKE Tech Hub Coalition
Event 04/24/2026 8:00 PM
AIA x MILWAUKEE x MAGAZINE RELEASE PARTY (VOL 14) — Club Timbuktu, Milwaukee, WI
Join us IRL for the AIA x MILWAUKEE x MAGAZINE RELEASE PARTY (VOL 14) – good vibes, great mags!
Event 04/27/2026 5:30 PM
WiscoREIA Milwaukee: Exploring AI Tools for Real Estate Investors — West Burleigh Street, Wauwatosa, WI
Make sure to pre-register to save your seat! https://wiscoreia.com/event-6626396
Event 04/28/2026 9:00 AM
Cisco CCNA Training & Certification Program in Milwaukee, WI — 1433 N Water St, Milwaukee, WI
Get CCNA 200-301 certified with hands-on Cisco labs, expert-led training, real-world networking skills, and career guidance.
Event 04/29/2026 9:00 AM
Project Management Techniques Course Training in Milwaukee, WI — 1433 N Water St, Milwaukee, WI
Professionals undergoing the PMP course gain insights into project governance, including ethical considerations, compliance, and regulatory.
Event 04/29/2026 9:00 AM
Project Management Techniques Training in Milwaukee, WI — 1433 N Water St, Milwaukee, WI
Professionals undergoing the PMP course gain insights into project governance, including ethical considerations, compliance, and regulatory.
Event 04/29/2026 9:00 AM
One-Day Project Management Techniques In Milwaukee, WI — 1433 N Water St, Milwaukee, WI
Professionals undergoing the PMP course gain insights into project governance, including ethical considerations, compliance, and regulatory.
Event 05/09/2026 10:00 AM
Hands-On : Copilot Studio, Microsoft Fabric, Azure AI : Better Together — Online (Online event)
**Hands-On Online Workshop: Copilot Studio, Microsoft Fabric, Azure AI : Better Together** **Date: 09 May 2026, 10 AM to 5 PM Eastern Time** **Level: Beginners/Intermediate** **Registration Link:** https://www.eventbrite.com/e/hands-on-copilot-studio-microsoft-fabric-azure-ai-better-together-tickets-1983680029367?aff=oddtdtcreator **Who Should Attend?** This hands-on workshop is open to developers, senior software engineers, IT pros, architects, IT managers, citizen developers, technology prod [Group: artificialintelligenceandmachinelearning]
Event 05/13/2026 5:15 PM
May Global AI Milwaukee User Group Meeting — Online (Wctc, 800 Main Street, Pewaukee, WI)
Agenda Includes: * Networking / Food * Brief Introduction / Discuss Group Business * Featured Speaker Featured Speaker: **TBD** Topic: **TBD** TBD **Featured Sponsors** TBD [Location Sponsor] TBD [Food Sponsor] [Group: global-ai_milwaukee]
Event 05/13/2026 11:30 AM
CARW All Member Meeting - Data, Technology & AI — Renaissance Milwaukee West Hotel, Wauwatosa, WI
All-Member Meeting featuring Topher Stephenson, a nationally recognized leader at the intersection of commercial real estate, AI, and tech.
In the News
Google Gemini
News 2026-03-31 — TechCrunch
Alexa+ gets new food ordering experiences with Uber Eats and Grubhub
Amazon has updated its Alexa+ platform with conversational AI capabilities that allow users to order food via Uber Eats and Grubhub. The system is designed to mimic a natural dialogue with a waiter, streamlining the process of placing complex orders through voice commands. This rollout is part of Amazon's strategy to enhance the utility and sophistication of its AI assistant in everyday consumer tasks. read more
News 2026-03-31 — TechCrunch
Nomadic raises $8.4 million to wrangle the data pouring off autonomous vehicles
Nomadic has raised $8.4 million to scale its deep learning model, which converts unstructured autonomous vehicle footage into searchable, structured datasets. By streamlining how companies handle massive quantities of visual data, the startup aims to improve the training efficiency and safety of robotic systems. This technology addresses a critical data processing bottleneck currently facing the autonomous transportation industry. read more
News 2026-03-31 — TechCrunch
Exclusive: Runway launches $10M fund, Builders program to support early-stage AI startups
AI video pioneer Runway has announced a $10 million fund and a dedicated "Builders" program to invest in startups utilizing its generative models. The initiative focuses on companies developing interactive, real-time "video intelligence" applications across various industries. This program marks a strategic expansion for Runway as it seeks to build a broader ecosystem around its proprietary AI technology. read more
Anthropic Claude
News 2026-03-31 — VentureBeat
Claude Code costs up to $200 a month. Goose does the same thing for free.
The artificial intelligence coding revolution comes with a steep price tag, as Anthropic's Claude Code charges $20-$200 monthly for terminal-based AI agent capabilities. A growing rebellion among programmers has emerged against these high costs for AI coding tools. This highlights the tension between expensive commercial AI coding solutions and emerging free alternatives. read more
News 2026-03-31 — VentureBeat
Listen Labs raises $69M after viral billboard hiring stunt to scale AI customer interviews
Listen Labs secured $69 million in funding after using a creative $5,000 billboard in San Francisco to compete against major tech companies for engineering talent. The startup focuses on AI-powered customer interview solutions and needed to hire over 100 engineers. The funding round came after their unconventional marketing approach gained viral attention in the competitive AI talent market. read more
News 2026-03-31 — WIRED
AI Research Is Getting Harder to Separate From Geopolitics
NeurIPS, the world's leading AI research conference, announced a policy change that drew widespread backlash from Chinese researchers before being quickly reversed. The incident highlights how AI research is increasingly becoming entangled with geopolitical tensions. This development shows the growing challenge of maintaining international collaboration in AI research amid rising political divisions. read more
OpenAI GPT
News 1. 2026-03-31 — VentureBeat
Anthropic launches Cowork, a Claude Desktop agent that works in your files — no coding required
Anthropic has introduced Cowork, a new AI agent that enhances their Claude Code tool, extending its capabilities to non-technical users by allowing interaction with files without any coding requirements. This development was completed in a short span using the Claude Code tool itself, marking a significant step in making AI tools accessible to a broader user base. read more
News 2. 2026-03-31 — VentureBeat
Salesforce rolls out new Slackbot AI agent as it battles Microsoft and Google in workplace AI
Salesforce has unveiled a revamped version of its Slackbot AI agent, transitioning it from a simple notification tool to a sophisticated workplace assistant. This new AI-powered agent can search enterprise data, draft documents, and perform actions on behalf of employees, enhancing productivity and streamlining workflows. read more
News 3. 2026-03-31 — TechCrunch
Exclusive: Runway launches $10M fund, Builders program to support early-stage AI startups
Runway has announced the launch of a $10 million fund and Builders program aimed at supporting early-stage AI startups focusing on AI video models. The initiative seeks to encourage the development of interactive, real-time video intelligence applications, positioning Runway as a key player in advancing AI technology in media. read more
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