Lindsay Rosenthal

Founder | Creator | Strategist | Building AI, Leaders, & Ideas That Move Markets

For sponsorships + booking + speaking: hello@cred.marketing
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I build AI, leaders, products, and ideas that move markets.

As a founder, creator, and strategist, I’ve taken products from concept to market, scaled sales engines, built teams, and created campaigns that drive both revenue and cultural relevance. Deeply integrating AI in every step of the way. 

My experience spans SaaS, AI, B2B, and beyond, working alongside the companies and executives shaping tomorrow’s most important industries. (Would love to work with yours!)

I operate where innovation meets execution. 
Blending the reach of a creator, the precision of a strategist, and the perspective of an AI founder who has built and scaled from the ground up. 

The result: content, campaigns, AI, and go-to-market strategies that cut through the noise and position brands at the forefront of their markets.

Founder

1 month of content in 1 hour

The playbook I use to see trends early:

(my unfair advantage going into 2026)

I’ve led top brand campaigns w/ some of the coolest companies.
And right now, I’m deep in planning mode for what’s next.

A huge focus for me is spotting where trends actually start.
Then plugging campaigns into those moments.
Cutting in while people are still deciding.

Cause this messy middle (where Q’s repeat, opinions clash, community hangs) is where the real signal lives.

That’s why Reddit for Business is ranking at the top for me right now.
I use Reddit to:

- uncover golden audience insight from authentic convos
- activate audiences before they’ve made up their minds
- carry signal all the way through the funnel without losing trust

One example: I used Reddit Pro keyword tracking to spot a pattern forming across multiple communities. That signal showed up weeks before it appeared on other platforms.

We shaped the campaign around that language. Message landed immediately. Performance followed.

My 2026 system looks like this:
listen first → identify repeated intent → shape the narrative → then distribute.

The real edge now isn’t louder marketing. It’s understanding people earlier andddd meeting them while they’re already deciding.

That’s the playbook I’m building around.

Reddit is such an unfair advantage.

You can even sign up here with Reddit Ads to earn $500 in ad credit when you spend $500!!

LINK: https://lnkd.in/ghXdVeB6

feeling overwhelmed with content for 2026?

it might not be a content problem
but an AI tool stack problem.

too many tools, tabs, workflows would drive anyone crazy.

more AI hasn’t made content better.
it’s made it heavier.

the best creators I know aren’t running massive stacks.
they’re using 4 tools max.

because fewer decisions means more brain space saved.

here’s the stack to simplify your workflows:

𝟭. 𝗼𝗻𝗲 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗽𝗮𝗿𝘁𝗻𝗲𝗿
something to help you pressure-test ideas, structure thoughts, sharpen voice, get unstuck.

𝟮. 𝗼𝗻𝗲 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝗼𝗿 𝗲𝗱𝗶𝘁𝗶𝗻𝗴 𝘁𝗼𝗼𝗹
used sparingly for clarity and flow.

𝟯. 𝗼𝗻𝗲 𝘀𝘆𝘀𝘁𝗲𝗺 𝗳𝗼𝗿 𝗰𝗮𝗽𝘁𝘂𝗿𝗶𝗻𝗴 𝗶𝗱𝗲𝗮𝘀
catch thoughts fast!

𝟰. 𝗼𝗻𝗲 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺
a calendar, checklist, or light scheduler to help you stay consistent + intentional.

that’s it.
everything else is complexity disguised as productivity.

AI should reduce friction, not add it.

if your stack feels heavy, that’s the signal.
simplify!!

how to prevent scaling the wrong ideas:

(despite what AI tells you!)

AI is making bad ideas scale faster than ever.
but the problem isn’t AI’s.
it’s us hitting publish too fast.

something sloppy, half-baked, or just wrong can now reach hundreds, thousands, even millions, before anyone notices.

so how do you avoid amplifying mistakes?

pressure-test your thinking first.

here’s how:
1. slow it down
don’t hit publish right after generating a post.
take a breath. review. reconsider.

2. read it out loud
does it sound like you?
does it convey what you actually mean?

3. flip perspectives
what would a critic say? 
what would someone outside your industry think?
(critics aren’t the end-all, but can be worthy of thought)

4. share with another human
even one person spotting a gap can save you a lot of trouble.

your job isn’t to make more content.
it’s to make better content.

slow down.
pressure-test.
then scale.

I’m revealing my 3 layer storytelling strategy:

(copy my hack for better, more human outputs!!)

AI can generate words, but it can’t automatically tell your story the way your brand does.

to get consistent, on-brand output, teach the model your narrative in 𝟯 𝗹𝗮𝘆𝗲𝗿𝘀:

𝟭. 𝗰𝗼𝗿𝗲 𝗯𝗲𝗹𝗶𝗲𝗳𝘀
define the principles your brand stands for.

 • write 2-3 sentences describing your values.
 • prompt AI: “use these beliefs as the foundation for all messaging”
   example: “we believe marketing should build trust, not just clicks”

𝟮. 𝘀𝗶𝗴𝗻𝗮𝘁𝘂𝗿𝗲 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀
collect stories, case studies, or examples that capture your voice.

 • list 3-5 recurring stories or wins.
 • prompt AI: “reference these examples to illustrate points naturally”
   example: “highlight how brands scale with AI while keeping human creativity central”

𝟯. 𝘀𝗵𝗮𝗿𝗲𝗱 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲
document recurring phrases, terminology, and tone.

 • compile 5-10 phrases or words you always use.
 • prompt AI: “write content using this tone, language, and style consistently.”
   example: “always lowercase, concise, educational, with punchy takeaways”

𝗵𝗼𝘄 𝘁𝗼 𝘂𝘀𝗲:

 1. feed all three layers to the model before generating content
 2. ask AI to produce the first draft
 3. review, tweak, and add new examples to refine outputs

the better you teach, the less editing you need.
and AI becomes a true storytelling partner.

everyone’s asking how to use AI for content in 2026.
but that’s not really the question.
the real advantage is knowing what AI can’t do.

AI can generate ideas but it can’t live the moment that led to them.

AI can summarize what happened but it can’t show the tension while it was happening.

AI can clean up copy but it can’t recreate the back-and-forth, the second guessing, the almost wrong call.

that gap is where the human opportunity is.
in 2026, the content that actually works will be more real.
really, truly, real.

what to share instead of generic AI content:
• the decision you went back and forth on
• the thing that didn’t work + why
• what surprised you this week
• how something actually got approved
• what you changed after seeing real results
• the part of the process you normally skip over
• your real personality and human-ness

so show the tradeoffs, constraints, the imperfect execution.
what makes us truly humans, all giving our best go at this.

bc people don’t trust you because you sound smart.
they trust you because they understand how you think.

AI will keep raising the baseline.
but ultimately humans still win on depth and being real.

Top AI Voice | Certified AI Innovator | I Recommend & Teach Individuals & Businesses AI/AITools that yield atleast 90% efficiency

Awa K. Penn here,  With a substantial following across various platforms, including over 224,000 on Instagram, 650,000 on Facebook, 40,000 on Threads, 3,000+ on TikTok, and over 40,000 newsletter subscribers, I help people build their online brand and share tips that drive growth and success with AI.

I specialize in:

➡️ AI Consulting: 
➡️ Training & Workshops: 
➡️ Custom AI Solutions: 

Let's connect and explore

Awa K. Penn

Free courses on AI agents to help you upskill in 2026.

It covers;

✳ Multi AI Agent Systems with crewAI
 Learn how to build multi-agent systems using crewAI.
 Link: https://lnkd.in/eM-hFBqJ

✳ Foundations of Prompt Engineering (AWS)
 Master prompt basics with this free AWS course.
 Link: https://lnkd.in/e5PhYtiX

✳ Introduction to LangGraph
 Learn graph-based agents with Harrison Chase.
 Link: https://lnkd.in/eAXK-Nw5

✳ Large Language Model Agents MOOC
 Deep dive into LLM agents with Dawn Song.
 Link: https://lnkd.in/e5mDib3P

✳ AI Agents in LangGraph
 Build agents with LangGraph + LangChain.
 Link: https://lnkd.in/eZDwizet

✳ Building AI Agents with Multimodal Models
 Use vision + language models with Nvidia.
 Link: https://lnkd.in/eW3-rSJ7

✳ AI Agentic Design Patterns with AutoGen
 Learn agent design patterns from Microsoft.
 Link: https://lnkd.in/eefeXCfC

✳ LLMs as Operating Systems: Agent Memory
 Use LLMs as operating systems with memory.
 Link: https://lnkd.in/eDK_i8Yi

✳ Building Agentic RAG with LlamaIndex
 Build fast RAG agents with LlamaIndex.
 Link: https://lnkd.in/eJ5fmKX3

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NotebookLM just dethroned many AI startups.

This isn’t just a chatbot.

It’s an AI brain that reads your sources and thinks for you.

I just compiled the 21 best things you can now do with it.

→ Upload sources
→ Use Deep Research
→ Chat with your sources
→ Build a big source library
→ Paste raw text as a source
→ Extract info into a Data Table
→ Share notebooks with others
→ Turn sources into a Mind Map
→ Turn sources into Infographics
→ Add any website link as a source
→ Add a YouTube video as a source
→ Turn sources into Audio Overview
→ Turn sources into a Video Overview
→ Track notebook analytics and activity
→ Add sources directly from Google Drive
→ Generate Quizzes from your own content
→ Control notebook settings and behaviour
→ Write your own notes inside NotebookLM
→ Turn sources into a clean report/document
→ Generate Flashcards from your own content
→ Create a Slide Deck presentation from your sources

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Master NotebookLM in 5 minutes

How to create infographics from YouTube with NotebookLM

Here's the exact workflow I use:

- Go to NotebookLM
- Create a notebook
- Go to YouTube and copy any video link
- Paste it into NotebookLM as a YouTube source
- Then, Prompt NotebookLM:
“Summarise the content perfectly for creating an infographic.”
Hit Infographic (top right)

That’s it. You’ll instantly get a clean visual infographic based on the video.

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How to create inforgraphics from Youtube  with NotebookLM

How to prompt ChatGPT in 2026

If your prompt looks like a casual question

You're doing it wrong

Here’s the 6-part structure OpenAI recommends:

1) Start with a role
Give the model a job title
Let it wear one hat at a time

2) Set a real task
Be exact about what you need
Describe the outcome, not the journey

3) Feed it real context
Don't make it guess
Give it data, limits, goals

4) Ask it to reason
Don’t just say “Do this”
Say “Think this through first”

5) Control the output
Tell it how to answer
Short list? Table? Markdown?

6) Define an exit
Decide what’s “done”
Prevent GPT from wandering

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How to prompt ChatGPT in 2026

Everyone is obsessed with Vibe Coding

But no on shows you the best ones

So, I teamed up with my man Alex Cinovoj

To show you the best with some concrete examples

10 AI tools that turn plain prompts into full projects.

[🔖 save this to build faster with AI + no code/code]

1) Lovable
Turns plain English into React apps.

2) Replit
AI pair programmer that writes and debugs code in real time

3) V0 by Vercel
Builds full web apps from a text prompt.

4) Emergent
Creates full-stack projects from natural language specs.

5) Manus AI
Turns ideas into content, visuals, or voice with one prompt.

6) Blink dot new
Builds, edits, and previews code in your browser instantly.

7) Rocket dot new
Creates full-stack AI agents and deploys them to the web.

8) Windsurf
AI-powered autonomous coding and debugging assistant.

9) Cursor
An AI-powered code editor built on GPT models.

10) Bolt dot new
One-click AI coding environment for rapid prototyping.

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AI will replace busywork in 2026

But only if you know which tools to use

This cheatsheet gives you everything at a glance.

It covers;

AI Chatbots
AI Presentation
AI Coding Assistance
AI Email Assistance
AI Image Assistance
AI Spreadsheet
AI Meeting Notes
AI Writing Generation
AI Scheduling
AI Video Generation
AI Graphic Design
AI Data Visualization

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Gemini Vs Chatgpt Vs Midjourney Vs Grok

Which AI image model is the best?

I tested them side by side using the SAME prompts. 

And the results were… not even close. 

Here’s the real ranking (based on the images):

→ Midjourney

✔ Advantages
Best visual quality
Cinematic lighting
High-end textures
Polished, ad-style look

✘ Disadvantages
Poor text handling
Bad with consistency
Hard to control for workflows

→ ChatGPT

✔ Advantages
Reliable prompt accuracy
Clean and usable visuals
Good consistency
Fewer distortions

✘ Disadvantages
Less cinematic than Midjourney
Slightly flatter output

→ Gemini

✔ Advantages
Useful for quick drafts
Simple and fast

✘ Disadvantages
Lower visual quality
Flat and soft textures
Feels less premium

→ Grok

✔ Advantages
Bold and stylized visuals
High contrast
More graphic and “designed” look

✘ Disadvantages
Weaker realism
Not ideal for product shots

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Which ai image model is the best

AI is not replacing project managers.

But project managers who use AI?

They’ll replace the ones who don’t.

Here’s the stack that works.

1. ChatGPT
↳ Where It Fits: Brainstorming, decision support, writing briefs
What It Frees Up: Faster planning, sharper decisions

2. Perplexity
↳ Where It Fits: Research vendors, trends, competitive tools
What It Frees Up: Instant clarity for better choices

3. Fellow AI
↳ Where It Fits: Meeting agendas, notes, action tracking
What It Frees Up: Smoother meetings, better execution

4. Gamma
↳ Where It Fits: Sprint reviews, stakeholder decks, project updates
What It Frees Up: Fast, polished slides without design work

5. Guidde AI
↳ Where It Fits: SOPs, tool walkthroughs, async video guides
What It Frees Up: Scalable onboarding, fewer repeated explanations

6. Notion AI
↳ Where It Fits: Project docs, sprint plans, team knowledge base
What It Frees Up: Centralized knowledge, clean collaboration

7. ClickUp AI
↳ Where It Fits: Smart task updates, daily summaries, project reports
What It Frees Up: Less admin work, faster updates

8. Magical AI
↳ Where It Fits: Autofill emails, project updates, recurring data entry
What It Frees Up: Hours saved on routine typing

9. Zapier AI
↳ Where It Fits: Automate workflows and agents, pull data, update project tools
What It Frees Up: Hands-off execution, powerful integration

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Everyone is talking about Google's Nano Banana Pro

But no one is showing how to make money with it.

Here are 8 ways to start (Anyone can do it):

→ Edit photos for people.
→ Create marketing images fast.
→ Make product photos that sell.
→ Help real estate agents with staging.
→ Sell digital art on popular sites.
→ Teach others with simple tutorials.
→ Build tools with the API if you code.
→ Offer bundles with clear prices.

Watch the full breakdown here, plus where to sell: https://lnkd.in/eYHHHgQj


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Claude Co-work can turn days of work into minutes

Copy and use these 7 prompts;

Clean & Organise Downloads Folder
Create a Meeting Summary Document
Build a Meeting Presentation
Research & Write a Topic Paper
Extract Receipt Data into Excel
Improve a To-Do List
Turn a Blog Post into Social Content

Grab the full Claude Co-work Guide here: https://lnkd.in/dh4JQcdi

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2025: Brands spent 7 figures on salaries to test 10 ad concepts 
2026: AI agent trained on $300M sends winning Slack ads

Just tested Parker
(Running it through a few projects).

WHAT IT DOES:
→ Connects to Meta account, reviews, & ad comments
→ Searches TikTok for viral videos in your niche and top-performing hooks 
— Rewrite them as scripts mapped to your brand voice
→ Scans thousands of reviews, extracts pre-purchase phrases
→ Connect to your Meta ad account and surface performance insights
→ Daily Slack briefs deliver fresh hooks overnight

Here are prompts I’ve been running:
- "Monitor every viral TikTok in the creatine niche, find the top-performing hooks, and rewrite them as scripts mapped to creators who match our brand."
- "What are 5 angles I should test that constantly appear in reviews?"
- "What phrases repeatedly show up across our 5-star reviews?"
- "Find me 5 TikToks to recreate as ads for [product]."

How it works:
- Connect your ad account + upload reviews (CSV)
- Parker reads thousands of reviews in seconds
- Ask for angles, hooks, and scripts. Get them instantly
- Parker sends Slack insights from Continuous Research
- Wake up to fresh hooks and scripts ready to test

QUICK TAKEAWAYS:
- One brand attributed $21k of $34k weekly spend to Parker-generated hooks
- Trained on real creative strategy SOPs from Huel ($100M+), 
- The Perfect Jean ($20M), Motion ($300M) 
- Outputs feel like a senior strategist, not generic AI fluff 
- Up to 40x more ad output without hiring creatives


Want to see it in action? Check out Parker: https://heyparker.ai/

P.S. I'm also giving away a list of 100 AI strategists for hire. 

The right brand could hire one of these strategists and 5x their ad output. 

Comment “Parker”, and I'll send them to you.

#ParkerPartner

This prompt stops ChatGPT from agreeing with everything.

I’ve tested many (this one actually works).

It teaches AI to stay clear, direct, and honest.

I added clear rules:

“DO NOT agree automatically with user statements.”
“Challenge weak logic and point out gaps in reasoning.”

AI needs both:
- Auto-agreeing hides mistakes.
- Weak logic goes unchecked.

Both lead to bad answers.

This prompt forces AI to:
- Ask for evidence when claims lack support.
- Separate facts from opinions.
- Offer alternative views.
- Explain reasoning step by step.
- Focus on practical, real-world thinking.
- Avoid clichés, vague language, and filler.
- Stay calm and professional.

This prompt now lives in my Claude and ChatGPT.
 (You can add it to your custom instructions, too.)

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Forget Gemini. Forget Claude. Forget Perplexity

ChatGPT has everything in one place.

I just compiled 15 things you can do with it

→ Custom GPTs
→ ChatGPT memory
→Temporary chats
→ Scheduled emails
→ ChatGPT Projects
→ Shopping research
→ ChatGPT Agent
→ Mobile screen sharing
→ Realistic image generation
→ Voice and audio mode
→ Group chats and exports
→ Study and learn mode
→ Real apps inside ChatGPT
→ Deep research for reports
→ Writing and editing with Canvas

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How to combine ChatGPT + Feynman Technique.

To learn a subject/Skill faster

Copy & paste this prompt: 

### ROLE ###

 Act like an expert learning coach and tutor who specializes in accelerated learning using the Feynman Technique.

### OBJECTIVE ###

Your objective is to help me learn any topic faster by breaking it down into simple explanations, identifying gaps, and building targeted practice until I can teach it clearly.

### TASK ###

Use the Feynman Technique to help me learn: [TOPIC].

Inputs (if any are missing, ask me up to 3 quick questions first):
- Topic: [TOPIC]
- My current level (beginner/intermediate/advanced): [LEVEL]
- My goal (exam, job skill, curiosity, project): [GOAL]
- Time available (today + weekly): [TIME]
- Target audience to “teach” (12-year-old, smart friend, colleague): [AUDIENCE]

### REASONING ###

1) Define the learning scope: 
- List the 5–8 core subtopics in the smallest sensible order. 
- Mark what is essential vs. nice-to-have for my goal.
2) Quick diagnostic: 
- Ask me 5 short questions to locate gaps, then adapt the plan.
3) Teach-back draft (Feynman Pass 1): 
- Write a plain-language explanation of the topic for [AUDIENCE] in 200–350 words. 
- No jargon unless you define it in one short sentence.
4) Gap extraction: identify every fuzzy term, missing step, or leap in logic from your explanation. Output a “Gaps to Fix” checklist.
5) Targeted micro-lessons: for each gap, give:
  - The simplest explanation
  - One analogy
  - One concrete example
  - One common misconception and correction
6) Teach-back refinement (Feynman Pass 2): rewrite to 120–200 words+fixes.
7) Active recall practice: generate:
  - 10 flashcards (Q/A)
  - 5 exam-style questions with answers
  - 3 exercises/problems (easy/medium/hard) with solutions
8)  Propose a 7-day spaced review schedule 

### OUTPUT FORMAT & STOP CONDITIONS ###

- Be precise; don’t invent facts. 
- Output in Markdown with clear headings and bullet points.
- Keep explanations simple, concrete, and example-driven.

Take a deep breath and work on this problem step by step.

----------------------
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Content types that get cited in AI search

These covers; 

→ Buying Guides
→ How-To Guides
→ Comparison Pages
→ Listicles
→ Product Documentation
→ Product Detail Pages
→ Research Reports
→ Trend Deep-Dives
→ Case Studies
→ Repurposed Thought Leadership

--------------------------

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Manually testing vibe-coded apps is a silent productivity killer.

This AI has the cure, and it works

You don’t need to code to even do this.

Most teams today struggle with:
- Too many tests
- Fast updates
- Broken checks
- Login problems
- Tools that don’t talk to each other

Most people think testing needs code.
KaneAI by TestMu AI  proves it doesn’t.
KaneAI works like a smart helper for teams.
Not a replacement, just support.

Here’s what it does, in plain English:
✅ You type what you want to test
 KaneAI turns your words into test steps.
✅ It can read Jira tickets and files
It makes test cases from real work.
✅ Works for websites and mobile apps
One place. No switching tools.
✅ Helps check APIs too
Without writing scripts.
✅ If the app changes, tests adjust
You still review. KaneAI fixes small breaks.
✅ Finds problems early
So bugs don’t surprise you later.

What teams notice:
- Less busy work
- Fewer broken tests
- Faster setup
- Easier teamwork
- More time for real thinking

If your team is tired of messy testing, this is worth a look.
Try it today here: https://lnkd.in/dvJK8S8E

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How do I never run out of content? Simple - AI agents.

More specifically, Superagent. 

A new AI product launched by Airtable. 

Here’s what happens behind the scenes.

1️⃣ Tackling the Problem (Plan)
Superagent breaks down the problem into smaller tasks
How to approach the problem
What to research


2️⃣ Deploy Agents (Research)
Multiple AI agents work at the same time
Each one specializes on a different task
They search deeply and check sources

3️⃣ Synthesize (Combine)
All findings come together
Research becomes one clear report
Ideas turn into an action plan

Unlike most AI tools that give old links and surface answers,
Superagent takes more time, checks sources, and connects everything.

↳ What makes this agent workflow different
→ It researches, not just replies
→ It produces real plans, not loose ideas
→ It turns research into rich, interactive, and ready-to-use content

↳ Real example from my carousel

One prompt: build a content growth plan
Agents study Twitter, LinkedIn, TikTok, and Instagram
Patterns are analyzed
Tools are compared
Results are merged into one report

↳ What I get at the end
→ Content ideas
→ A 30-day posting plan
→ What works on each platform

↳ The building blocks are simple
→ Give one clear task
→ Let agents split the work
→ Review the final report

↳ Behind the scenes
→ Deep web research
→ Source checking
→ Platform comparison
→ One Super Report

Want to post without worrying about content research,
Get 2 months for free using AWA2FREE  discount code if you sign up using this link https://lnkd.in/dDiKKAMS

#AirtablePartner

How to automate content creation with AI agents

Everyone is talking about Claude code

But no one tells you it is too technical with few errors

Instead, Replit lets you build, test, and publish in one place.

I built a Research AI web app with Claude  + Replit...

This process replaces a full dev team.

The super simple steps:

1. Find a simple app idea
 - Go to Google and type:
 “AI app for”

2. Get Claude's prompt ready
 - Open Claude and ask it to write the build instructions for Replit.

3. Start in Replit
- Go to replit dot com and click Create.

4. Add your Claude API key safely
- In Replit, open Secrets and add:
 ANTHROPIC_API_KEY = your Claude API key

5. Test the paper generator
- Enter a topic and select:
 paper type, length, academic level, citation style

6. Publish and share
- Click Publish and get your live URL.

AI gets you 80% of the way there.

Start building here: https://lnkd.in/eW_DV5_y

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ChatGPT can act as your Legal Assistant.

Here are 9 prompts to turn ChatGPT into your legal assistant

- Contract drafting
- Clause explanation
- Risk check
- Contract comparison
- Negotiation help
- Policy writing
- Defence lawyer
- Legal email drafting
- Dispute explanation

--------------------------

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Claude just crushed ChatGPT and Gemini with this feature

This might be the best thing AI has ever done

 And it is Claude’s new “Cowork” feature

→ Claude doesn’t just give advice in a chat
→ Now it works with your real files

Here’s how it works:

→ You point Claude to a folder on your Mac
→ Claude can read your stuff
→ Claude can fix, sort, write, and create
→ All inside your own documents

No more copy-paste
No more one-file uploads
No more prompt packs
Just open a folder, & Claude gets to work

What can Claude's co-work do?
- Sort and rename messy downloads
- Turn screenshots into clean spreadsheets
- Write full reports from random notes

Anthropic calls it a “research preview”
But it feels like Claude just got a job

Right now, Cowork is:
→ In the Claude Mac app
→ For Claude Max users
→ Still being tested

If this goes wide
Office work may never be the same
What would you use Cowork for first?

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taplio

The Battle

Lindsay Rosenthal

Awa K. Penn

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taplio

The Battle

Lindsay Rosenthal

Awa K. Penn

Followers

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Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Lindsay Rosenthal's LinkedIn Performance

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Performance ScoreLindsay Rosenthal's LinkedIn Performance