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Hey Radarians, this week, AI is reshaping how we work, write, build, and do business.
From copyright battles and Meta’s latest model to spreadsheet-to-app workflows, practical tools, and an AI-powered side hustle.
Let’s dive in.
What’s Inside 📡
Radar News Brief
Steal This Workflow
AI Research
Tools Worth Watching
Prompt Radar
AI Side Hustle Idea
Learn AI with This Course
Radar News Brief
⚖️ US government backs OpenAI in AI copyright case
Trump administration filed a 20-page brief supporting OpenAI’s use of copyrighted material to train AI models, arguing that restricting LLM development could hurt U.S. innovation
The brief argues AI training may be fair use, with the debate centered on whether using copyrighted works to train models is sufficiently “transformative” to be legal
The filing is not a ruling, and the case remains in the U.S. District Court for the Southern District of New York, but the administration’s intervention could still influence the battle
🧠 Meta’s Muse Spark 1.3 rivals top AI models on coding
Meta says Muse Spark 1.3 is its biggest performance jump yet, with Chief AI Officer Alexandr Wang claiming it surpasses GPT-5.6 Sol in coding and matches Anthropic’s Fable 5.1
The model cuts token usage by 25% and tool calls by about 20% versus Muse Spark 1.2, while improving long-horizon tasks, complex instruction following and agentic workflows
Muse Spark 1.3 is rolling out through Muse Code and Meta’s API, with a max-reasoning version coming after additional safety testing and Meta planning further expansion
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More News on the Radar
Google introduced Gemini 3.8 Flash and Flash Cyber, offering stronger reasoning, coding, agentic workflows and cybersecurity
Uber plans to cut 3,300 jobs, its biggest layoffs since COVID-19, as it simplifies management, cuts costs and prepares for robotaxi
Reliance Jio is expanding JioPC across India, letting older computers run stronger computing and AI apps through the cloud
⚡ Steal This Workflow
Turn One Spreadsheet Into a Mini App
Stop making people dig through rows and columns just to understand your data. Turn the spreadsheet into an interface they can actually use.
Prepare the data
Open your data in Google Sheets. If you have a CSV, import it first and make sure the table has clear column names such as:
Customer
Status
Owner
Revenue
Date
Priority
Sheets canvas currently works from one Sheet tab at a time, so keep the data you need together.
Create the mini app
Open Ask Gemini → Tools → Create canvas.
Gemini reads the spreadsheet and can turn it into dashboards, Kanban boards, calendars, galleries, heat maps, or other interactive layouts.
Use this prompt:
Turn this spreadsheet into an interactive dashboard. Identify the fields that are most useful for understanding the data. Show the key metrics at the top, add useful charts, and let me filter by status, owner, category, and date where those fields exist. Keep the interface simple and do not invent information that is not in the sheet.Improve it conversationally
Keep giving Gemini changes like:
“Add a revenue trend chart.”“Create a filter for owner.”“Turn the task list into a Kanban board.”“Show overdue items separately.”You can refine the layout, functionality, and presentation without rebuilding it manually.
Use it instead of the grid
Share the canvas with your team just like the original Sheet.
People with editing rights can add, change, or delete data directly through the visual interface, while the underlying spreadsheet stays synced.
🔎 AI RESEARCH: Using ChatGPT for Writing Was Linked to Lower Mental Engagement
What researchers studied:
MIT Media Lab researchers tracked 54 people writing essays across three sessions using ChatGPT, a search engine, or no digital tools while measuring brain activity with EEG.
What they found:
The ChatGPT group showed the weakest overall brain connectivity, while the no-tools group showed the strongest and search users fell in between.
ChatGPT users also had more difficulty accurately quoting their own essays and reported feeling less ownership over what they had written.
Why it matters:
AI can make writing easier, but relying on it heavily may reduce how actively people engage with, remember, and feel connected to their own work.
The study was small, focused specifically on essay writing, and was still a non-peer-reviewed preprint when released.
Source: MIT Media Lab, June 2025
🛠️ Tools Worth Watching
Walkie: Speech-to-text app with cloud and on-device transcription
Hermes Agent: Hermes Agent overtakes OpenClaw as top open-source agent
Adaptive: Always-on PC running AI agents without supervision
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📝 Prompt Radar: Create Reusable Work Systems
What it does: Turns a repeated task into a reliable workflow you can use again and again.
Work as a workflow and systems designer. I will describe a task that happens repeatedly. Design a reusable system that makes the result consistent without creating unnecessary bureaucracy. Define the trigger, required inputs, steps, decision rules, owners, tools, templates, quality standards, approval points, outputs, exceptions, and success measures. Identify which parts should be handled manually, automated, or supported by AI. Create reusable templates or prompts for the repetitive parts and define what information must change each time. Include failure cases and recovery steps. End with a simple version that can be put into use right away and a more advanced version that can be added once the workflow is proven. Task: [PASTE TASK].Best for:
Teams
AI workflows
Repeated tasks
💼 AI Side Hustle Idea: AI Quote Preparation System
Most service businesses don’t need “another estimating tool.” They need a quicker way to turn messy customer requests into quotes they can review and send.
The problem:
Customers send forms, emails, photos, and call notes, while staff still have to piece together the job scope, pricing rules, materials, assumptions, and follow-up questions manually.
Your AI service:
Build a quote-preparation workflow that organizes each request, applies the business’s pricing rules, drafts the scope and estimate, identifies missing information, and prepares a customer follow-up message.
Simple workflow:
Customer request → extract job details → apply pricing rules → draft quote → flag missing info → human review → send
Best clients:
Contractors, cleaners, landscapers, repair businesses, painters, home-service companies, and event businesses.
What you can charge for:
Quote system setup + pricing customization + monthly maintenance.
Learn AI with This Course
What you’ll learn:
Learn the basics of AI, how it works, and how tools like ChatGPT and Gemini can help you solve everyday problems, improve productivity, support business tasks, and build practical AI skills.
Key topics:
Understanding AI, machine learning, generative AI, and large language models
Exploring how data powers AI and how AI tools are used in business
Learning about AI ethics, regulations, responsible use, and emerging trends
Until next week,
AI Radars