Former Anthropic Researcher Testifies

PLUS: Trump Launches AI Taskforce

In partnership with

Hey Radarians, this week AI is moving from big promises to real-world impact.

AI oversight, privacy concerns, smarter workflows, aging research, AI agents, ecommerce opportunities, and tools worth watching.

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

⚠️ Former Anthropic researcher to testify at NYC AI hearing

Jacob Coxon will testify at a New York City AI hearing as lawmakers consider fresh safeguards around rapidly advancing artificial intelligence
Coxon was invited by City Council Speaker Julie Menin, who has encouraged AI whistleblowers to speak as officials weigh a package of AI bills
Coxon left Anthropic last month after warning that some AI builders believe the technology could pose catastrophic risks by decade’s end

🧠 Trump launches ‘Super Intelligence Force’ to oversee AI

President Donald Trump announced an AI task force led by Director of National Intelligence Jay Clayton to coordinate federal policy around advanced AI
The group will work with consumers, public-interest groups, religious organizations, and AI companies as the US pushes to maintain its technology lead
FTC Chair Andrew Ferguson and Pentagon research chief Emil Michael will also join, following Trump’s recent call for stronger oversight of AI safety

1,000+ Claude Prompts Top Professionals Actually Use at Work

Claude can be your analyst, editor, and strategist.

But most professionals are using it to fix grammar.

These 1,000+ Claude prompts take it from grammar tool to your most powerful AI work assistant.

1,000+ ready-to-use Claude prompts to get real work done in minutes — researched, tested, and used by professionals at Google, Microsoft, and NASA
Superhuman AI newsletter (4 min daily) so you keep learning new AI tools and skills to stay ahead in your career — the prompts are just the beginning

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More News on the Radar

Norway plans a temporary ban on AI glasses in some public places over privacy fears about hidden filming and audio recording risk

Google paused open-source bug bounty submissions after maintainers became flooded with invalid AI-generated vulnerability reports

Bradford NHS clinic says AI skin-cancer scans cut waits, boost patients per session from 24 to 32, and reduce needless procedures

⚡ Steal This Workflow

Turn a Finished Project Into a Reusable Playbook

A successful project should make the next one easier. Instead of leaving everything buried across folders, messages, and old documents, turn one completed project into a system your team can reuse.

Build the finished-project folder

Create one Google Drive folder and collect the important material from a project that went well:
- Original brief
- Final deliverables
- Timeline
- Meeting notes
- Client or team feedback
- Major revisions
- Checklists and templates used
- Problems that came up
- Final results
Do not clean everything up first. The messy project history is useful because it shows what actually happened, not just what was planned.
Let Claude reverse-engineer the project

Create a Claude Project and add the important files to its project knowledge.

Have Claude analyze the project for:

Project stages → what happened in what order

Repeated actions → tasks worth standardizing

Good decisions → rules worth reusing

Revisions → mistakes or gaps to prevent

Successful documents → potential templates

Quality checks → what had to be true before moving forward

Client-specific details → things that should not become part of the standard process

The goal is not another project summary. You want Claude to separate the reusable system from the one-off details.
Build the playbook in Notion

Create a Notion database template for this type of project.

Turn Claude's findings into sections such as:
- Before starting
- Required inputs
- Project stages
- Step-by-step checklist
- Decision rules
- Templates and examples
- Quality-control checks
- Common mistakes
- Final handoff checklist
Link best files from the original project as examples instead of recreating everything.

When another similar project starts, duplicate the template instead of starting from an empty page.
Improve it after every project

Use the playbook on the next similar project.

When that project finishes, compare:

What worked again?

What changed?

Which steps caused delays?

What was missing?

Which checklist items were unnecessary?

Add the useful lessons back into the Notion template and remove anything that applied to one project.

Over time, every completed project improves the system for the next one.

🔎 AI RESEARCH: AI Can Tell How Fast You’re Aging From Your Voice

What researchers studied:

Researchers built an AI “speech clock” using recordings from 2,928 Spanish-speaking people across five Latin American countries. The system analyzed more than 700 features, including speech speed, pitch, vocabulary, emotion, and how people structured their language.

What they found:

The AI estimated a “speech age” and compared it with each person’s real age. People whose speech sounded older than their actual age were more likely to show poorer cognitive performance and signs associated with dementia and biological aging.

Larger speech-age gaps were also linked with brain-aging measures and, in people with Alzheimer’s disease, higher levels of the p-Tau217 biomarker.

Why it matters:

A few minutes of speech could eventually offer a cheap, non-invasive way to spot signs of unhealthy aging without relying on brain scans or blood tests.

The researchers caution that the speech clock is not yet a diagnostic test or a way to predict an individual’s future dementia risk.

Source: Science Advances, September 30, 2026

🛠️ Tools Worth Watching

Narrative: AI video editor that cuts footage from instructions
Aside: AI browser that completes tasks across logged-in websites
Yila AI: Research agent for papers, data, figures, and slides

The Best Marketing Angle You’ve Never Tried

Everyone wants a marketing hack that makes growing their business easier.

But according to business guru @MarketingMax (9 figures in attributable revenue delivered to clients), one of the best no-cost marketing hacks is finding the one angle that makes people foam at the mouth wanting what you sell.

Lucky for you @MarketingMax put together a quick 2-page Google Doc breaking down how to find yours in 10 minutes, with 20+ real examples you can steal from.

Steal his marketing hack here→

📝 Prompt Radar: Learn Any Topic Using the 80/20 Rule

What it does: Helps you learn the small set of concepts that unlock most of the practical understanding of a topic.

Work as an expert teacher in [TOPIC]. My current level is [LEVEL] and my goal is [GOAL]. Use the 80/20 principle as a guide, not a strict formula, to identify the few concepts, skills, and mental models that will give me the strongest practical understanding first. Rank them in best learning order, explain each simply with a useful example, and show how they connect. Identify any essential prerequisites, common beginner mistakes, and topics I can safely ignore until later. After teaching the core ideas, give me a short exercise that tests whether I can apply them rather than just repeat them. Finish with a compact cheat sheet, the most important things to remember, and what I should learn next once I understand the fundamentals. Avoid unnecessary theory unless it directly improves understanding or practical use.

Best for:

Learning skills
Understanding difficult topics
Getting up to speed quickly

💼 AI Side Hustle Idea: Ecommerce Returns Reduction Service

Ecommerce brands spend heavily getting customers to buy. But every avoidable return can eat into the profit from that sale.

The problem:
Brands collect return reasons, reviews, support tickets, and customer complaints, but that information is often scattered across different tools. The same issues can keep appearing without anyone connecting the patterns.

Your AI service:
Use AI to analyze return data, reviews, support conversations, and product information to uncover why customers keep sending certain products back.

Then identify problems such as unclear sizing, misleading product descriptions, missing information, confusing images, quality expectations, or recurring customer questions, and recommend fixes.

Simple workflow:
Return data + customer feedback → AI analysis → group recurring reasons → identify preventable issues → improve product pages + FAQs → prioritize fixes → monthly report

Best clients:
Shopify stores, DTC brands, apparel companies, footwear brands, ecommerce retailers, marketplace sellers, and agencies managing online stores.

What you can charge for:
One-time returns audit + per-product optimization package + monthly return monitoring and recommendations.

Learn AI with This Course

🤖 AI Vibe Coding With Agents - Kaggle + Google

What you’ll learn:

Learn how to build AI agents using natural language as the main programming interface, connect them with tools and APIs, and take them from simple prototypes to working agent systems.

Key topics: