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

Attended a dinner with top SF founders and VCs.
What top teams are actually betting on for AI in 2026:
(reframed my entire AI roadmap.)

I asked everyone one question:
“One word to describe AI in 2026.”

The answers were telling:
Unpredictable. Essential. Explosive. Pervasive. Vertical agents!

When you zoom out, a few patterns become very clear.

Here’s what actually matters for 2026:

1. AI becomes invisible, but unavoidable
Winning tools aren’t all about the AI AI AI.
AI will just be baked into workflows, decisions, and daily work.

2. Most teams are still using AI wrong
Oh so many teams had shallow AI applications.
And leaned in hard for the branding and buzz words.
Real gains come from deeply integrated systems that compound.

3. Vertical > generic
Vertical agents only win when paired with real domain expertise.
Otherwise, it’s just thin wrappers.
2026 is for AI depth and real applications.

4. Enhancement beats replacement
The strongest founders weren’t chasing “AI replaces X.”
They’re building for human amplification:
better judgment, faster execution, fewer bottlenecks.

5. Humanness becomes a differentiator
As AI gets more powerful, taste, trust, narrative, and leadership are everything!!

If you’re planning for 2026, these are the words I’d build a roadmap around.

Huge thank you to Emma Greenwald, Mahir Kumar Singh, Ricky Marton and the whole HubSpot For Startups team for such an incredibly curated, high-signal room!

everyone is asking how to win on LinkedIn in 2026.
don’t copy the wrong playbook.
copy mine here:

we’re entering the era of AI-generated sameness.
and that’s exactly why founders who sound the most human will stand out.

(thanks Audrey Chia for the great question here!!)

if your content could have been written by a model, it won’t win.
your unfair advantage is your unique, human, point of view.

background. 
lived experience. 
actual opinions from building.

so treat your LinkedIn like a media company.
don’t copy trends, but deliberately do the opposite.

you don’t even need a traditional tech background to do this.
teachers, nurses, operators, founders from any industry all have a lane.

all you have to do is find yours.

be deeply personal. 
unmistakably you.
and build media around that.

that’s how you stand out when everyone else sounds the same.

most founders say they’re “data-driven”.

so why are they still avoiding the hardest decisions?

i teamed up with Alyona Mysko to share with you our top tips for making data work for you, not the other way around. 

ultimately, the problem isn’t lack of data.
it’s lack of decision systems.

data only works when:
1. you know what decision you’re trying to make
2. you’ve set limits before emotions get involved

otherwise it’s just expensive noise.

swipe to see the full breakdown!

Top 2 Tips For Turning Data Into Decisions As a Founder

Come with me for a day in the life!
Building at the center of the B2B creator economy.
(And a sneak peek of what’s next.)

1. Morning at the SF LinkedIn offices.
Unpacking what’s actually coming in 2026!

2. Back-to-back convos with teams building next gen B2B tools.
So fun to hear top insights driving 2026 roadmaps.

3. Burmese lunch between meetings 
(highly underrated, btw)

4. Filming new content, stay tuned!

5. Waymo rides across the city.
Filmed before this week’s Waymo shutdown, lol

6. Closed the day at an invite-only HubSpot for Startups dinner.
Packed with awesome SF founders and operators.

7. And of course, getting to hang w/ the one and only @Katie Wrathall

A few signals I keep hearing from leaders across LinkedIn, HubSpot, and top B2B builders:

- B2B creator economy is shifting from “influencer” to infrastructure
 Content isn’t the output anymore.
Distribution, trust, and repeatable systems are.

- Founder-led media is becoming a core GTM channel.
 Especially on LinkedIn, where credibility compounds.

- 2026 is about depth over volume
Winners go all in on what’s working.

- Lines between product, marketing, and media are collapsing
 The best teams (and creators) are building all 3 together.

Days like this remind me why I’m bullish on where B2B creators are heading next.
And why I’m investing more into behind-the-scenes access, IRL convo, and building in public.

More to come soon in 2026!!
Happy Holidays to you all!

the upgrade you need to your 2026 cold email plans:

(how to basically print meetings!!)

most cold email campaigns fail because emails never land in the inbox.

so i really had to rethink my process here for sending emails.

i switched to Maildoso and my reply rates jumped almost immediately.

here’s why it works:
1. mailboxes are built for deliverability, not just sending. 
2. 98%+ of emails land in the primary inbox (even to outlook)
3. self-healing mailboxes rotate + replace burned addresses automatically, so campaigns never stop.

they also just rolled out Google Workspace accounts. 
so you can get high-deliverability SMTP mailboxes + fully legit workspace inboxes directly inside Maildoso!
(+ they’re priced lower than anything else out there)

plus setup is effortless (no dread!!) 
hundreds of mailboxes ready in mins, domains included, no manual config needed.

and somehow the cost is 50% cheaper than gmail/outlook mailboxes??

if your outbound campaigns feel stuck, this is the playbook you need to hack reply rates at scale.

STOP and do this one thing right now:

(before you adopt any more AI tools)

everyone wants to jump straight to AI.
they buy the latest tools and start running experiments.

but the truth is, AI can only be as good as the data it sees.
without a 𝘀𝗶𝗻𝗴𝗹𝗲 𝘀𝗼𝘂𝗿𝗰𝗲 𝗼𝗳 𝘁𝗿𝘂𝘁𝗵, you get conflicting outputs, misaligned decisions, and wasted time.

a single source of truth is:

 • one place where all data is accurate and up-to-date
 • standardized definitions across teams
 • clear ownership of information

why it matters:

 • AI trained on messy or duplicated data produces unreliable answers
 • teams spend more time cleaning output than using it
 • decisions made from inconsistent data hurt credibility and speed

think of it as the less exciting, but critical, bottleneck to plan for.
(before you start automating or scaling with AI)

the companies who do this first, build reliable workflows and get lasting leverage from AI.

why “AI will replace jobs” is the wrong frame

(+ the reframe that will completely transform your workflows)

everyone keeps asking which jobs AI will replace.
but that’s the wrong question.
AI doesn’t replace 𝘫𝘰𝘣𝘴, it replaces 𝘵𝘢𝘴𝘬𝘴.

every role is a bundle of tasks.
(some routine, some creative, some relational) and AI picks off the routine ones first.

example:
a marketer might spend time writing briefs, analyzing campaigns, pitching ideas.
AI can handle the briefs and analysis.
but the pitching? still so human!!

the better question is:
which tasks in my job are predictable enough for AI to do consistently well?
because that’s where the shift starts.

the future isn’t “AI vs humans”
it’s “humans who redesign their job around AI” vs those who don’t.

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

ChatGPT has officially been dethroned.

Google Gemini is a different beast.

I just compiled the 15 best things you can do with it now.

→ Create Gems
→ Create slides
→ Deep research
→ Kids Storybook
→ Guided learning
→ Convert audio to text
→ Convert videos to text
→ Create realistic images
→ Works across Google apps
→ Generate videos with Veo 3
→ Create Quizzes on any topic
→ Create infographics in Canvas
→ Build web apps with opal as Gems
→ Build and edit web apps in Canvas
→ Create podcasts with Audio Overview

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Forget Harvard. Forget Google. Forget Coursera. 

Learn AI from top companies Worldwide.

Learn AI for FREE here: https://lnkd.in/edj3CsFu


🔗 Links are included.

🔖 Save for later.


✳Intro to Generatve AI (Google)

This introductory-level microlearning course explains what Generative AI is, how it is used, and how it differs from traditional machine-learning methods.

Link: https://lnkd.in/eQ6z8Ubw


✳ AI foundation specialization (IBM)

This badge earner understands what AI is, its applications and use cases across various industries, and terms like Machine Learning, Deep Learning, and Neural Networks. 

Link: https://lnkd.in/ejVXUyk3


✳ Transform your Business with AI (Microsoft)

In this learning path, business leaders will find the knowledge and resources to adopt AI. It explores planning, strategizing, and responsibly scaling AI projects.

Link: https://lnkd.in/emrGafrg


✳ Generative AI Explained (NVIDIA)

In this no-coding course, learn Generative AI concepts and applications, as well as the challenges and opportunities in this exciting field.

Link: https://lnkd.in/eUbm8Eda


✳ AI for Everyone (Deep Learning AI)

In this course, you will learn the meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science.

Link: https://lnkd.in/eKgftypd


✳ Building an AI voice Assistant (Udemy)

In this course, you will learn to create your own in-app Voice AI assistant today using the Alan AI Platform!

Link: https://lnkd.in/eh63jgCh


✳ Introduction to Generative AI (Amazon)

The course provides an introduction to generative AI, use cases, risks, and benefits. A content generation example illustrates the art of the possible.

Link:https://lnkd.in/e7jDJabx


✳ Implementing Generative AI Today (AI IXX)

Whether you're a marketer, designer, entrepreneur, or simply curious about the future of AI, this course is your launchpad to becoming a true innovator.

Link: https://lnkd.in/eASdcqe4


✳ Responsible AI Foundations (LinkedIn)

This learning path underscores the core principles of responsible AI, practical frameworks for enterprise organizations, and tools for building fairness into AI systems.

Link: https://lnkd.in/eRV_2FAw

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Free courses on AI agents to help you upskill for 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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Forget Google. Forget Coursera. Forget Paid Degrees

Learn AI from top Universities Worldwide.

Learn AI for FREE here: https://lnkd.in/edj3CsFu

🔗 Links are included.

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✳ Elements of AI by University of Helsinki

The Elements of AI is a free online course for everyone interested in learning what AI is, what is possible (and not likely) with AI, and how it affects our lives – with no complicated math or programming required.

→ Link: (https://lnkd.in/eS5iQ3az)

✳Building AI by the University of Helsinki

Building AI is for anyone who wants to improve their AI-related vocabulary and skills, including non-programmers and Python programmers.

→ Link (https://lnkd.in/eHmHSs5M)

✳ Intro to Artificial Intelligence by Stanford University

 In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI.

→ Link: (https://lnkd.in/eZ5tSaQg)

✳ Intro to AI with Python from Harvard University

This course explores the concepts and algorithms at the foundation of modern artificial intelligence and dives into the ideas that give rise to technologies.

→ Link: (https://lnkd.in/eATUG7Nj)


✳ Reinforcement Learning by the University of Alberta

In this final course, you will put together your knowledge to implement a complete RL solution to a problem. 

→ Link:(https://lnkd.in/eE-aG2nW)

✳AI by Massachusetts Institute of Technology

This course introduces students to the essential knowledge representation, problem-solving, and learning methods of artificial intelligence.

→ Link:(https://lnkd.in/eRQysMGu)

✳ AI in Healthcare by Stanford University

In this specialization, they'll discuss the current and future applications of AI in healthcare to learn to bring AI technologies into the clinic safely and ethically.

→ Link:(https://lnkd.in/eie9rZUS)

✳ AI for Business by the University of Pennsylvania

This specialization will provide learners with the fundamentals of using Big Data, Artificial Intelligence, and Machine Learning, and the various areas in which you can deploy them to support your business.

→ Link: (https://lnkd.in/eegvPu9A)

✳ AI for Breast Cancer Detection by Johns Hopkins University

This course aims to teach students about artificial intelligence processing approaches to breast cancer detection. 

→ Link:(https://lnkd.in/eFhbQXKS)


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You don’t need to pay $5K for a mentor.

You need just ChatGPT.

Here’s how to get world-class coaching for free from the best

↳ Alex Hormozi
↳ Steve Jobs
↳ Elon Musk
↳ Sam Altman
↳ Grant Cardone
↳ Oprah Winfrey

Learn AI for Free 👉 https://lnkd.in/edj3CsFu

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How to prompt GPT-5.2

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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JSESSIONID

How to prompt GPT-5

Teaching 1 Million+ People AI Everyday

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.

But only if you know which tools to use in 2026

This cheatsheet gives you everything in one 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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How to master ChatGPT in 2 minutes

I used it to learn coding, copywriting, marketing, etc.

No courses. No mentors. Just AI.

Here’s my exact process;

It covers:

→ Act as a (Role)
→ Create a [Task]
→ Features
→ Directives for Tailored Responses
→ Show as (Format)
→ Learn from ChatGPT

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10 AI skills everyone should master in 2026


- AI Delegation
- AI Tool Selection
- AI Ethics & Safety
- AI Decision Making
- AI Content Creation
- Prompt Engineering
- AI Workflow Building
- AI for Ideas & Planning
- No-Code agents
- AI for Customer or Team Support

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Everyone is so obsessed with ChatGPT

But Manus AI is a different beast

Here are 15 incredible things you can do with Manus AI

- Cloud Execution
- Ready File Outputs
- Multi-Modal Processing
- Deploy Websites / Services
- Web Navigation & Scraping
- Autonomous Task Execution
- Data Analysis & Visualization
- Adaptive Learning & Memory
- Multi-Language / Localization
- Self-Correction / Error Handling
- Document & Content Generation
- Tool & External System Integration
- Code Generation, Testing & Deployment
- Workflow Visualization & Execution Tracking

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How to turn any PDF into a mobile app using ChatGPT

With ChatGPT and Replit, a simple PDF can become a real mobile app in minutes.

I used my own PDF to test this end-to-end.

Here is how the workflow comes together.

1️⃣ Start in ChatGPT
- Upload your PDF to ChatGPT.
- Connect Replit from Apps and Connectors.
- Type: “Turn this PDF into an app people can click and explore.”
ChatGPT:

 → Reads the PDF
 → Turns sections into screens
 → Creates the app flow

2️⃣ Build and test
- The app is created inside ChatGPT.
- You click through the screens.
- You fix issues before publishing.

Edits happen by typing:
 → Reorder sections
 → Add navigation
 → Make it easier to read

3️⃣ Publish with Replit
- Move the finished app to Replit.
- Replit builds the real app.
- Publish and make it live.

Your PDF content becomes software.
What makes this different

→ No coding knowledge required
→ Existing content reused
→ Real apps published
→ Changes made through conversation

If you want to turn your PDFs into apps,
 Check the comment to start for free.

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#ReplitPartner

Build mobile apps from a pdf

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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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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There are 70,000+ AI tools.

But you only need 7- 8 to succeed on LinkedIn in 2026. 

This list covers;

→ Profile Optimization
→ AI Headshot
→ Post Generator
→ Engagement
→ Networking
→ Research Ideas
→ Carousels
→ Lead Generation

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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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OpenAI prompt templates lets you get the best out of ChatGPT.

And, anyone can use them in ChatGPT right away

Save this post for later.

1/ ChatGPT for product – Made for product teams.
- https://lnkd.in/e_SvruXy

2/ ChatGPT for engineering – Supports system building
- https://lnkd.in/eN98wkpH

3/ ChatGPT for sales – Understand and address customer needs.
- https://lnkd.in/e9C2584C

4/ ChatGPT for marketing – Campaign and marketing tasks.
- https://lnkd.in/eSGViuet

5/ ChatGPT for IT – Simulates real IT scenarios for professionals.
- https://lnkd.in/eV4xu-ed

6/ ChatGPT for HR – Automates HR tasks and planning.
- https://lnkd.in/e6VaaWe8

7/ ChatGPT for managers – Prompts for leadership tasks.
- https://lnkd.in/eHaGU_3Y

8/ ChatGPT for finance – Supports financial operations and planning.
- https://lnkd.in/e2_434f5

9/ ChatGPT for customer success – Improves customer success workflows.
- https://lnkd.in/e75QbN5Y

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ChatGPT Atlas vs Comet vs Claude vs Genspark?

Use this guide to pick the right AI browser in seconds.

Comet
 ↳ Best for deep research on the open web. It shines when you need exploration across many sites, long reading, comparisons, and source linked answers that are ready to cite.

ChatGPT Atlas
 ↳ Ideal for working directly inside pages. Use it for writing help, page summaries, form filling, planning, code debugging, file interactions, and small automations while you browse.

Claude for Chrome Browser
 ↳ Strong choice for careful reading and thinking. It works well for explanations, multi step instructions, research assistance, clean rewriting, summaries, and structured reports from long pages.

Genspark
 ↳ Built for speed and workflows. Use it for smart search, quick summaries, YouTube summarising, product comparisons, data extraction, scripts, and app integrations across many pages.

AI works better when you match the browser to the task.

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

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AI just learned how to duplicate ads in seconds. 

Good luck keeping up.

AI isn’t coming for media buyers.

It’s coming for the brands still stuck in 2020 production.

Here’s the stack that actually works for UGC ads.

1️⃣ MakeUGC
↳ Where it fits: UGC production, ad adaptation, creative testing
↳ What it replaces: creators, reshoots, revision loops

2️⃣ Winning ads (as inputs)
↳ Where they fit: structure, hooks, pacing, persuasion
↳ What they replace: guessing new ideas from scratch

3️⃣ Avatars instead of creators
↳ Where they fit: on-camera UGC, product demos, testimonials
↳ What they replace: $500–$1k per video creators

4️⃣ Variations instead of concepts
↳ Where they fit: testing angles, hooks, offers
↳ What they replace: “let’s try a completely new ad”

5️⃣ One workflow instead of chaos
↳ Where it fits: editing, resizing, exporting
↳ What it replaces: creators, editors, DMs, spreadsheets, delays

MakeUGC just launched a new feature — and they’re the first to do it.

You take an ad that already works.
Drop it in.
Add your product.

The structure stays.
The persuasion stays.
Only the brand changes.

Brands using this don’t wait weeks to scale.
They scale while momentum is still there.

I put together a short guide showing how to use this new MakeUGC feature to turn Ads into a system instead of a bottleneck.

Comment “MakeUGC” and I’ll send it


#MakeUGCPARTNER

li_at

BREAKING: You can now use Photoshop in ChatGPT

And not only that, You can

- Create graphics with Adobe Express.
- Create and edit PDFs with Acrobat
- Create and edit images with Photoshop tools
All inside ChatGPT.

How to set it up 👇
- Go to Settings
- Open Connectors and Apps
- Choose the app you want
- Click Connect
- It’s free to use.

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Learn AI for free👇https://lnkd.in/edj3CsFu

🔄 REPOST to help others know this.

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The Battle

Lindsay Rosenthal

Awa K. Penn

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Performance ScoreAwa K. Penn's LinkedIn Performance

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taplio

The Battle

Lindsay Rosenthal

Awa K. Penn

Followers

Posts

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

Performance ScoreAwa K. Penn's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreLindsay Rosenthal's LinkedIn Performance