Leonard Rodman, M.Sc.

Trainicity

Technical SaaS Deployment Manager

1871

Working with 1871, a technology incubator company, to mentor startups in emerging technologies, with a specific focus on artificial intelligence companies.

AI Innovation Lab Mentor

OpenAI

OpenAI Forum is an invitation-only online community launched in February 2024 to facilitate collaboration between domain experts, researchers, and students on AI development and safety. It focuses on advanced discussions about artificial general intelligence (AGI) and its societal impacts.

Member, OpenAI Forum

Harvard Business Review

A member of the Harvard Business Review Advisory Council, an opt-in research community of business professionals.

Harvard Business Review Advisory Council

Impact Networking, LLC

•	Extensive work with Docebo APIs, automations and customization of interface with HTML/CSS
•	Developed Agile project plan and managed rollout of Docebo LMS system to 1,000 users, coordinating stakeholders and teams: web dev, UX, marketing, API, SSO/SAML, IT security, service and sales with rollout on-time, within budget.
•	Led weekly scrum standups to track progress, identify risks, and remove roadblocks. 
•	Implemented Docebo analytics in PowerBI to track adoption and guide development, increasing course consumption by 20%.
•	Documented frontend KB and backend SOPs for Docebo LMS to support long-term system maintenance and growth.
•	Founded a BIPOC employee resource group with support of C-suite and executives
•	Developed, designed, prototyped and maintaining UX across the product. Extensive customization with HTML and CSS
•	Developing and prototyping AI initiatives within L&D and across the company including AI chatbots for sales development and internal training of call center personnel using APIs, ChatGPT and Claude.

Docebo LMS Lead Administrator, Project Manager, Developer, UX Researcher

Leading Real Estate Companies of the World

•	Managed migration and onboarding of 200k users and 3M learner records to new Docebo LMS using Agile PM principles
•	Custom API and HTML/CSS work to integrate product lines and provide custom, bespoke user interfaces
•	Built Salesforce automation routines to create richer analytics dashboards, improving visibility into learner behavior.
•	Conducted UX Research and developed multiple UX implementations across product lines
•	Recognized with prestigious Training Magazine Top 15 Hall of Fame Award for excellence in training.

Docebo LMS Lead Administrator & Lead Instructional Designer, Developer, UX Researcher

Kaplan

Premiere private tutor and teacher for LSAT, MCAT, GMAT, GRE, SAT, ACT and AP courses

Premier Tutor (LSAT, MCAT, GMAT, GRE, SAT/ACT)

IT System Administrator | AI Implementation Analyst | Agile Project Manager | 40k followers & 11M views/14mo | ChatGPT, Midjourney, Runway and more!

Leo is a technical deployment manager at Trainicity. He has worked in education and technology for 20 years and is incredibly excited about all of the opportunities that AI offers for corporate education, client education, marketing and more! He specializes in testing, comparing and implementing AI systems at an enterprise and SMB level. He also provides Agile coaching to organizations. 

LMS Lead Administrator

I will be launching a new Docebo LMS for Impact Networking this year. I'm so excited to join an amazing team!
Assisting with finalizing a LMS vendor agreement
Strategizing about LMS rollout
Developing UAT strategies with the L&D team
Coordinating with UXUI and Graphic Design to develop a branded look and feel
Coordinating with Managed IT Ops to develop a SAML-based SSO for MS Azure
Analytics with Microsoft PowerBI
Investigating Microsoft Power Virtual Agents for e-Learning and KB access

Kindness isn’t just “nice to have” at work.

It’s the fuel that makes collaboration easier, leadership stronger, and even tough days feel lighter.

But most people think of kindness as random acts.
Something extra.
Something occasional.

Here’s the truth: kindness can be a daily practice.

And it doesn’t take much to build it into your workday:

→ Start every meeting with a genuine check-in, not just an agenda.
→ Send one message of appreciation to a teammate each day.
→ Assume positive intent before jumping to conclusions.
→ Share credit loudly, take blame quietly.
→ End your day with one reflection on who helped you, and how you can return it tomorrow.

None of this costs money.
All of it creates momentum.

Because kindness isn’t soft.
It’s strategy. 💡

And it’s the strategy that turns teams into communities. 🤝

🔍 Who I Am: I'm Leonard H. Rodman, a seasoned Learning & Development (L&D) professional based in Chicago, IL. My passion lies at the intersection of technology, education, and organizational growth. With an extensive background in LMS administration and project management, I've pioneered and optimized L&D initiatives for diverse organizations, from IT companies to global real estate brokerages to educational institutions.

🌐 My Mission: In a rapidly evolving digital world, I believe in empowering individuals and teams with tailored educational experiences that drive results. As a committed L&D specialist, I strive to design and deploy transformative learning systems that resonate with learners, elevate their potential, and, in turn, bolster organizational success.

💼 Professional Snapshot:

Currently leading LMS initiatives at Impact Networking, LLC, where I’m championing the launch of a new Docebo LMS, promising a seamless and impactful learning experience for users.
Previously helmed the LMS administration at LeadingRE, where I facilitated the development of over 400 customized courses and successfully migrated a massive user and enrollment database into a more user-friendly system.
Collaborated with educators at Hebrew Seminary and DuPage Area Occupational Educational System to streamline their digital learning platforms, ensuring content delivery was efficient and engaging.
Outside of formal L&D roles, I spent a over a decade nurturing the minds of future leaders, teaching and tutoring students for critical exams at Stanley Kaplan Test Prep.

🔬 Educational Background: Holding an MS in Biomedical Sciences from Tufts University and dual BS degrees from Brandeis University, my academic journey has been characterized by curiosity, rigor, and distinction.

🛠️ Technical Arsenal: With proficiency in a broad suite of tools including Docebo, Articulate 360 Rise, Adobe Suite, WordPress, Microsoft PowerBI, and several programming languages, I'm equipped to navigate the technical challenges of today's L&D landscape.

🌟 Recognition: Honored to be acknowledged by Training Magazine as a Top 15 Hall of Fame Award Winner for Top Training System in 2023.

🤖 AI & AR/VR Enthusiast: An advocate for the potential of AI, especially platforms like ChatGPT, and AR/VR in education. I believe these technologies are the future of immersive and effective learning experiences.

🔗 Let’s Connect! Whether you're passionate about L&D, seeking insights on LMS, or wish to discuss the potential of AI in education, I'd love to connect and exchange thoughts. Drop me a message!

Follow me and learn about AI for free! | AI Consultant and Influencer | API Automation Developer/Engineer | DM me for promotions

Most teams are trying to bolt AI onto a 2015 style marketing org.
Then they wonder why nothing compounds!

You don't need another random AI tool.
You need an AI operating system for marketing that ships real work every two weeks.

That’s what MH-1 from MarketerHire is built for.

Start with a ruthless audit.
KPI alignment.
Tech stack sanity check.
Content velocity.
Data integrity.
Spend analysis.
If it doesn’t move revenue, it does not survive.

Then they turn the audit into a roadmap of modules.
Not fluffy “strategic pillars” - actual shippable builds.

Examples people are running right now:

A sales content engine that listens to call recordings
then turns transcripts into LinkedIn posts, sales emails, and enablement decks
with a human on top to protect voice and quality.

A lifecycle personalization engine that sends thousands of people
a “1 of 1” newsletter every week
using your CRM, your product data, and AI research in the loop.

DTC teams plug in modules like creative testing workflows, SEO engines,
and campaign operators that act like an on demand media team.

B2B teams plug in demand gen, ABM orchestration, webinar programs, CRO experiments,
and analytics that stop the “what actually worked?” fights.

Behind each module is a hybrid team:
Senior CMO level brain.
Specialist AI marketers who actually build the workflows.
Engineers to wire it all together.
Offshore execution for the repeatable grunt work.

Co pilot first, auto pilot later.
Humans stay in the loop where judgment matters.
AI takes the boring, high volume work that humans keep dropping.

It runs in two week sprints.
One small module shipped every sprint.
Month to month.
With a 2 week refund backed trial if it is not a fit.

If your 2026 plan still looks like 2019, you do not have a “strategy problem”.
You have an operating system problem.

MH-1 is how you replace it.

https://lnkd.in/dXikfqkb

People think viral posts are “magic.”
They aren’t.

They are engineered.
Slide by slide.
Word by word.

If your carousels are getting 37 views and a pity like from your cousin, it isn’t because the algorithm hates you.
It is because your hook is weak, your promise is vague, and your structure is chaos.

This framework rips that apart.
Hook that stops the scroll in 3 words.
Promise that tells people exactly what they get and how fast.
Structure that walks them from “I am lost” to “oh damn, I can use this today.”
Tone that sounds like a human, not a corporate FAQ.
Format that is scannable on a cracked iPhone screen.
Length that respects attention instead of abusing it.

You can keep guessing.
Or you can steal this anatomy and start treating every carousel like a tiny product launch.

Save this.
Next time you are staring at a blank page, plug your idea into this framework and ship.
Then come back and tell me how many more people cared about what you had to say.
Don’t repost this or share this with your friends. Gatekeep. I dare you.

The Anatomy of a Viral Carousel Prompt

Generative video is not a toy. Don’t be delulu. 
It is the future of filmmaking.

If you still think it is a gimmick.
You are delulu. That’s right, I said it twice. 

Traditional pipeline thinking:
Write.
Pitch.
Beg for budget.
Shoot for 30 days.
Spend 9 months in post.
Hope the algorithm cares.

Generative pipeline thinking:
One person.
A laptop.
A model.
A wild idea.
Concept to finished scene in a weekend.

This is not about “replacing humans.”
It is about deleting bottlenecks.

No more “we cannot afford that location.”
No more “VFX said that shot is impossible.”
No more “we need 200 extras and a helicopter.”

If you can imagine it.
You can rough it out in pixels.
Then iterate until it slaps.

Directors become world builders.
Editors become conductors of infinite footage.
Cinematographers become prompt architects.
Indie kids with zero access to Hollywood money.
Get to out create the studio system in real time.

Will there still be cameras.
Sets.
Actors.
Of course.

But they will plug into a generative-first workflow.
Not the other way around.

The people yelling
“this is not real filmmaking”
sound exactly like the people who said
“digital cameras will never replace film”
and
“YouTube is not real distribution.”

Every major shift looks stupid.
Right up until it eats the entire industry.

Generative video will not politely ask for permission.
It will belong to whoever experiments the hardest.
Learns the fastest.
Ships the most.

If you are in film and you are not playing with this stuff yet.
You are not “protecting the craft.”
You are surrendering your future.

Repost this if you agree. Disagree? Change my mind 👇
Like it if you are already experimenting.
Follow for more unfiltered takes on where this is all going.

Why are meetings so awful?

Because most of them are:
❌ Too long
❌ Too vague
❌ Too crowded

We’ve all sat through that 60-minute “status update” that could have been an email.
Or worse—the meeting where no one knows why they’re there in the first place.

Meetings should energize.
Instead, they often drain.

Here’s the truth:
A bad meeting isn’t just wasted time.
It’s wasted focus.
It’s wasted creativity.
It’s wasted momentum.

Great meetings are short, sharp, and specific.
They have a clear purpose.
The right people.
And an action plan at the end.

The problem isn’t meetings.
The problem is bad meetings.

So here’s a challenge:
Next time you’re about to schedule one, ask yourself:
👉 Do we really need this?
👉 Who absolutely needs to be in the room?
👉 What does success look like?

Cut the fluff.
Keep the energy.
Respect the time.

That’s how you turn meetings from awful…
…to awesome.

🚀

If you still think promotions go to the “hardest worker”
you might be living in a Disney movie.

Promotions go to the most obviously valuable person.
Not the quiet hero in the corner.

You want the next title bump?
Play the game on purpose.

Start thinking like your boss’s boss.
If it does not move revenue, risk, efficiency, or reputation
it is a side quest.

Document your wins like a psycho.
Screenshots. Metrics. Before vs after.
If you cannot show it, it did not happen.

Ask for more responsibility before anyone offers it.
Take the project nobody wants.
Then make it impossible to ignore.

Stop speaking in tasks.
Start speaking in outcomes.
“I sent the report” is nothing.
“I cut churn by 3 percent” gets you in the room.

Make yourself replaceable.
Train people. Build systems.
If the team collapses when you go on vacation
you are not a leader. You are a single point of failure.

Build allies outside your lane.
Your next promotion might be decided
by someone who has never sat in your standup.

Turn your manager into your hype person.
Feed them wins they can brag up the chain.
Your promotion is their story too.

Ask directly:
“What would it take for me to get promoted this year?”
That is not needy.
That is clarity.

Then act like you already have the job.
Calendar, energy, ownership, attitude.
Title usually shows up last.

No politics.
No brown nosing.
Just obvious, undeniable value.

Which one of these are you sleeping on right now? Shout out below 👇 lmk what you think

Which company is more valuable - OpenAI or NVIDIA?

At first glance, it feels obvious:
OpenAI is the AI.
NVIDIA just sells the chips.

But look closer.

OpenAI builds the apps.
NVIDIA sells the picks and shovels.

One is a brand.
The other is infrastructure.

Here’s why it matters:

→ OpenAI lives or dies by trust, adoption, and consumer hype.
→ NVIDIA profits every time another AI model spins up.
→ OpenAI might own the headlines.
→ NVIDIA owns the margins.

In the gold rush, you want to be the one selling shovels.
That’s why NVIDIA is currently more valuable—
And arguably, more powerful.

Because no matter who wins the AI race…
They’re all running on NVIDIA’s tracks.

So the better question isn’t “Who’s worth more today?”
It’s this:
Would you rather bet on the flashy sprinter?
Or the one who owns the entire racetrack? 🏟️💡

Cloud storage is where files go to hide.
Air is where creative work happens.

My team captures a lot of content

long-form video

product B-roll

UGC drops

design revisions

final cuts for every platform

The old workflow was friction
Search across three tools.
Vague filenames.
Version spaghetti.
Approvals scattered across threads.

Air gave us space to breathe.

Now we:

spin up public boards for collaborators so footage lands in the right place

make selects in context with comments that don’t get lost

track approvals with custom fields so we know what’s cleared, by who, and for where

use AI search to find clips by what’s in the frame, not what the file is named

expire links when the job is done so access stays clean

It feels less like storage
and more like a creative ops system
that actually respects how creators work.

Finally, a creative workspace built for creators.
More than storage - organize, optimize, and actually use your content.
Creator Plan is simple pricing - $20/month or $100/year.

Tagging the team that built it: Air
#AirPartner

Follow me and learn about AI for free! | AI Consultant and Influencer / API Automation Engineer

Most teams don’t have an “AI problem.”

They have a “too many tabs, not enough context” problem.

PMs are in one tool.
Marketing is in another.
Engineers are off in their own world.

And every AI assistant you’ve tried so far
lives in its own little bubble.

No shared memory.
No shared workspace.
No shared accountability.

Complete flips that.

Instead of 1-off chats, you get a shared AI workspace.
Humans + multiple AI agents
all working together
in the same conversation
with the same context.

Product can go from idea → roadmap → user stories → release notes
without leaving the workspace.

Marketing can go from brief → brand-safe copy → SEO → report
with agents that remember the strategy, the voice, and the goals.

Engineering can debug, plan sprints, review PRs, and generate docs
with coding agents that talk to each other
and to the rest of the team.

A few things that stood out to me:

Multi-agent workflows
Strategy, copy, PM tasks, dev work – delegated to specialized agents
that actually coordinate with each other instead of working in isolation.

Built for teams, not just individuals
Shared chats, shared files, shared context.
Everyone sees the same thread of decisions, assets, and updates.

Multi-model power, simple UX
OpenAI, Google, Anthropic, DeepMind under the hood
without your team needing to prompt-engineer their way through it.

End-to-end workflows
Planning, writing, testing, analyzing, reporting –
all in one place instead of scattered across 6 tools and 40 DMs.

If you’ve been feeling like AI is helping you individually
but not really transforming how your team works together,
this is worth a look.

👉 Check out Complete here: https://lnkd.in/gk5RiTNa

Most 360 reviews are not useful feedback. They are worthless performance theater.

HR sends a survey.
People stress over wording.
Managers read a PDF 3 months later and nothing changes.

Meanwhile your top performers are flying blind.

Here is the uncomfortable truth:
The best leaders pay 10k+ for deep, interview based coaching.
Everyone else gets a Google Form.

But what if there was a middle ground?

Your360 AI is basically saying:
“What if everyone could experience the executive treatment?”

Voice AI calls your peers, reports, and managers.
Real conversations, not checkboxes.
15 to 20 minute interviews instead of a 45 minute form no one wants to fill out.

Then it turns that mess of nuance into:
Clear themes.
Specific quotes tied to real behavior.
A growth plan you can actually act on.

No awkward power dynamics with your boss moderating feedback.
No guessing who said what.
No HR committee rewriting the truth until it is bland and useless.

An AI coach (Coach Tam, she’s super nice btw) walks you through the insights privately.
So you can process the hard stuff, decide what matters, and show up to performance review conversations already prepared.

That is the real unlock here:
360s that are psychologically safe, fast to run, and focused on development instead of politics.

If you run L&D, lead managers, or care about leadership culture at all, keep an eye on this space.
The companies that democratize coach quality feedback will keep their best people.
The ones that stick with performative surveys will keep losing them.

I’ve been working in the learning and development / edtech space for 20 years, and seriously, you HAVE to check this 360 tool out! I used it myself and was blown away by the insights.

Watch my review and see it for yourself in action, then visit https://your360.ai/

AI is not a search engine anymore.
It is a storytelling machine that decides who you are.
And most brands have no idea how those decisions get made.

You think you are competing for clicks.
You are actually competing for answers.

Because when someone asks ChatGPT or Claude about your category
the model is choosing which brands to surface
which pages to trust
and which narratives to elevate.

That is the new battleground.
And Search Party is the team showing brands how to win it.

Here is how the LLM world actually works:

LLMs ingest.
They evaluate your pages.
They judge your structure.
They gauge your expertise.
They compress your story into a single line that may or may not favor you.

Fanout queries change everything.
You ask one question.
The model expands it into ten.
Background. Context. Adjacent topics.
If you are invisible in that expanded universe
you will never appear in the final answer.

Signals drive visibility.
Citations
Tone
Authority
Depth
Coverage
These are the levers that tell AI who to include
and who to ignore.

Prompts behave nothing like keywords.
You do not rank.
You qualify.
You persuade the model through clarity, relevance and proof.
This is why brands are losing visibility that they never realized they were losing.

That is why Search Party matters.
It gives you visibility into the invisible.
It reveals how AI perceives your brand
which prompts trigger you
where you appear
and where competitors dominate the narrative.

It is an operating system for the age of AI answers.

And this is exactly where the P.A.C.E. Framework comes in.

Prompts
Analytics
Content
Exposure

A simple system for showing up inside LLMs:
Know how users ask
Measure how you appear
Create content AI trusts
Put that content where AI can actually ingest it

If you are not using P.A.C.E. with tools like Search Party
you are letting AI define your story for you
instead of defining it yourself.

AI is the new front page of the internet.
You either show up in the answer
or someone else owns your category.

Repost if you think brands should stop optimizing for clicks
and start optimizing for answers.
Follow for more AI visibility frameworks like P.A.C.E.

Track & Control Your Brand’s AI Visibility | Search Party

https://searchparty.com

Answer Engine Optimization (AEO)

I’m done treating month-end like a boss level
I want cheat codes

Generic AI is a sidekick
Sage is the squad

It lives in the work
Bills. Expenses. Timesheets. Variances.
All seen. All explained. In flow.

End-loaded chaos → continuous calm
Spreadsheet spelunking → guided answers
“Hope the numbers tie” → “Of course they do”

If you’re serious about a faster, cleaner close
Start where finance actually lives
Start with Sage

Download the Sage eBook and see for yourself! https://bit.ly/46WZs6D 🚀📘

Leonard Rodman, M.Sc. PMP® LSSBB® CSM® CSPO®

Everyone keeps talking about AI agents.
But nobody wants to admit the ugly truth:

Most agents are fake.
They do not touch the real internet.
They are just fancy wrappers around APIs and guesses.

Browser Cash just changed the entire game.

If you want to build your own
Perplexity style Comet
or ChatGPT style Operator
or any agent that actually uses the real web

you finally can.

Because this is not headless.
This is not spoofing.
This is not pray the site does not block you.

One API call spins up a real browser on a real device.
Your agent clicks.
Your agent logs in.
Your agent navigates.
Your agent extracts.
Your agent behaves like a human so there are:

No CAPTCHAs.
No antibot triggers.
No shadowbans.
No headaches.

This is a straight up Perplexity killer.
A Browserbase killer.
A new layer of the AI stack.
Powered by the team at Mega Tera Corp.

And to make sure devs actually try it
Browser Cash is giving away 25 dollars in free credits
with zero card required.

If you are building an agent
a workflow
a research engine
a crawler
or anything that needs to touch the real web

this is the moment you stop duct taping.
This is the moment you stop begging sites to let you in.
This is the moment you start building real autonomy.

browser.cash

Here is a brutal stat
seventy percent plus of online shoppers prefer to buy in their own language.
Not sometimes.
Not occasionally.
Almost always.

And seventy five percent of the internet is not native English.
Which means most businesses are literally leaving money on the table
because their websites speak to almost no one.

I used to be one of them.
English only.
Low conversions.
Low global traffic.
Self inflicted damage.

Then I tested Weglot

Automatic translation in minutes.
Real machine translation quality.
Zero code.
A language switcher that actually works.

So many brands overthink globalization
when the simplest fix is literally translating the site.
Not changing the product.
Not rebuilding the funnel.
Just speaking in the language customers trust most.

And when customers trust you
they buy more
they bounce less
and your SEO footprint multiplies in every region you unlock.

If your site is still monolingual
you are not competing
you are handicapping yourself.

Fix it before your competitors do:
https://lnkd.in/gQVsbabV

Everyone’s talking about Sora and Veo right now.

Cinematic video from a text prompt.
Production-level visuals without a camera.
Entire scenes created in seconds.

But here’s the part most people are missing:

If you don’t understand how to use ChatGPT’s modes…
you can’t fully use Sora or Veo either.

Because the real workflow isn’t “type prompt → get video.”
It’s:

research
planning
storyboarding
image analysis
scriptwriting
asset creation
revision
automation
distribution
and memory-based iteration.

And ChatGPT 5.1 quietly became the operating system for all of that.

Search for real-time data.
Deep Research for backstory and worldbuilding.
Vision for shot analysis and reference breakdowns.
Camera Mode for real-world capture and guidance.
Canvas for collaborative story refinement.
File Uploads for script drafts, brand decks, or shot lists.
Code Interpreter for data, timelines, and asset organization.
Custom Instructions + Memory for consistent style across projects.

Most people only use 10% of the power sitting in front of them.

So I built this beginner’s guide to show you exactly what each mode does
and when to use it.

If you’re experimenting with Sora or Veo…
this is the foundation you build on.

If you’re a marketer or creator trying to integrate AI into your workflow…
this is how you scale beyond “neat demo” territory.

Save this.
Share it with your team.
Optimize how you work before you try to optimize what you create.

AI video is exploding —
but the people who understand the toolchain will win.

Follow for more practical breakdowns like this.

— Leo

P.S. Who else watched South Park this week? If you haven’t yet, the whole episode is about Sora and AI video, check it out!

The Golden Rules Of Video AI Prompting

Your ads are leaking money
because your AI humans still look like mannequins.

Plastic skin.
Dead eyes.
That weird “AI sheen” that screams fake from the feed.

That is the fastest way to tank trust, CPM, and conversion.

Flora just quietly killed that problem.

They plugged in Enhancor, an AI skin texture enhancer that takes synthetic faces and pushes them into photoreal human territory.
Pores. Micro texture. Natural variation.
Without warping the face underneath.

If you are a marketer, here is why that matters more than yet another “cool AI filter”:

Your models stop looking like robots
Enhancor is trained specifically on skin. It fixes that over smooth, plastic AI look and adds realistic skin details so people stop subconsciously bouncing from your creative.

You keep facial structure and brand consistency
No more “who is this, actually” moments. It preserves bone structure and features while enhancing texture, so your AI talent stays on model across campaigns.

You win back hours of retouching
What used to take manual skin work in Photoshop or an external pipeline now runs inside your Flora workflows, where you already do character swaps, garment try ons, and commercial shoots.

You finally scale “good enough for TV” visuals
Flora is already an infinite, multi modal canvas for teams building image, video, and text like Lego blocks. Enhancor turns that into “ship this to paid” quality instead of “only good for moodboards.”

Here is the uncomfortable truth:

In 2025, your competition is not “using AI.”
Your competition is using AI that does not look like AI.

If your ads still have

Wax skin

Smoothed out plastic influencers

Faces that break at 4K

you are training your audience to distrust your brand assets.

With Enhancor living inside Flora, a single marketer can

Spin up AI talent

Run it through Enhancor for realistic skin

Drop into Flora flows for product swaps, new backgrounds, and campaign variants

Ship a full set of ad ready creatives in the time it used to take to brief a designer

No new app juggling.
No extra export import pain.
Just higher quality humans in the same canvas you already live in.

If your AI creatives still look like midjourney moodboards instead of money making ads, that is no longer a tech problem.

That’s because of your poor choices.

Curious how Enhancor inside Flora could clean up your current campaigns?
Check out Flora today at https://florafauna.ai

This is such cool news! I'm a huge fan of Limelight and what they've been doing in the space and I'm totally expecting them to go the whole way!

Cheers David Walsh!

Founder & CEO @ Limelight | B2B Creator Marketplace | 3x Founder | MBA Mentor

Today I’m announcing our $2,100,000 funding round 🎉💰
And a HUGE NEW PRODUCT LAUNCH!! ...

Our brand new AI agent for Social Listening is live.

It can:

→ Research your company
→ Precisely define your ICP
→ Identify all of your competitors

Then automatically surface buyer intent from social content and turn it into sales pipeline. 

Early users are raving about it already!!

And just a few weeks ago,
We won the Global Pitch Competition!
On stage at SaaStock (€1M prize money)

THIS. IS. WHAT. MOMENTUM. LOOKS. LIKE.

Here’s why investors are loving Limelight

👇🏼👇🏼

Everyone is talking about personality-led marketing.

- Niche B2B creators are stealing trust.
- Employees are becoming mini media brands.
- Buyers follow PEOPLE, not 40-page whitepapers.

But the problem - up until now?

Everyone KNOWS influence drives revenue.

Yet nobody can measure it.

So budgets have stayed trapped in paid ads & cold outbound.

Limelight SOLVES this problem.

We’re showing brands - how CONTENT drives REVENUE.

We are making influence marketing performance-based.

So brands can track:

🔎 Which post led to $142,000 in pipeline
🔎 Which creator drove 237 product signups
🔎 Which campaign closed $1.9M new business.

(All REAL Limelight case studies! 📈)

We’re turning B2B influence from a “nice-to-have branding play” into a scalable revenue engine.

Big SHOUT out to our new investors for believing in us

Amit at SNR (led the round!) 
Eran at Savyon Ventures 
Kenneth at BackFuture
Kaan at First Degree 
Josh at OpenSky 
Kirby at Ascend

And many others like Ran Makavy, Gert Lanckriet, Suhit Gupta, Amir Ashkenazi, Mike Head, Eli Schwartz, Tom Waddington, Dan Murray🧠, Garrett Scott, Michel Lieben 🧠 & Alex Vacca 🧠🛠️.

A group of incredible operators/investors who know personality-led growth will define the next decade of GTM.

What’s next?

Goal remains the same:
→ Hit $10M ARR with a team of 10.

This funding round lets us:

⚡ Build even faster
⚡ Hire a few elite engineers + AMs
⚡ Push deeper into creator-based attribution
⚡ Power influencer programs for every GTM org

Huge gratitude to my tiny but might team Youngjae JI, Demir Capan, Blas C. and Janine Bulao. 

And most importantly...

The creators and brands (HubSpot, Webflow, Clay + 100s more) who are building this category WITH us 💪🏼

THIS IS JUST THE START.

PS. if you sign up as a new customer in the next 48 hours you get your 2nd month free! (DM me and I will do it for you)

Most people prompt ChatGPT like they are ordering a sandwich

Then they wonder why the output is bland
generic
forgettable

If you want elite AI output
you need elite AI instructions

So I built the definitive guide
The 10 Laws of Prompting ChatGPT
A carousel you can save
steal
and use today

Inside you will see:

How to turn ChatGPT into any expert you want
How to force better thinking with constraints
How to get multiple angles before choosing one
How to chain prompts for complex tasks
How to make the model critique itself for sharper output
How to build your own prompt library that compounds forever

Most people think prompting is a trick
It is actually a skill
And the gap between great prompting and average prompting
is the gap between content that blows up
and content that disappears

If you want to level up fast
start with these 10 laws

Save the carousel
Share it with someone who still writes one line prompts
Follow for more AI mastery every week

Repost this if you want more people to stop wasting AI’s time

The 10 Laws of Prompting ChatGPT

I’ve been testing a new creative workflow lately.
And honestly…
I didn’t expect it to move this fast.

I used Freepik to rebuild a full ad concept in under 10 minutes.

Here’s the workflow:

I started with a rough pencil sketch of a product idea.
Nothing fancy — just a scribble from my notebook.

Dropped it into Freepik’s as an image reference and asked for photo outputs
Instantly got 6 polished concepts that looked like something out of a real campaign.

Picked one.
Expanded the frame to add more breathing room.
Then used the Image Editor to remove a few distracting elements
and replace the background with a clean studio look.

Still had one problem:
The lighting didn’t match the brand mood.

So I regenerated variations at “golden hour”
until I found a version that actually felt like the brand.

Final touch:
Ran it through the Upscaler to get a crisp, ad-ready visual.

That was it.
No photoshoot.
No Illustrator marathon.
No digging around in my asset folders.

Just one continuous flow.

If you’re a creator, designer, or marketer, this is the part where things click:

Freepik isn’t just a stock library.
It’s a full AI creative suite that lets you go from idea → concept → usable asset
without breaking your momentum.

If you want to see how fast you can build with it:

Create smarter with Freepik.

Most people are still using ChatGPT like it’s 2023.

One chat window.
One prompt.
One answer.

But 5.1 isn’t a chatbot.
It’s an operating system for your brain.

And if you know how to use the modes — you get a real advantage.

Because each mode solves a different problem.
And most users only ever touch one.

So I put together a simple, beginner-friendly guide to all the major modes in ChatGPT 5.1:

Search
Deep Research
Vision
Camera Mode
Voice Mode
File Uploads
Code Interpreter
Canvas
Memory
Custom Instructions
Projects
Scheduled Tasks
Custom GPTs
GPT Store

Most people don’t realize how many tasks can be automated, delegated, or accelerated with the right mode.

Want a structured research deep-dive?
Use Deep Research.

Want instant help identifying a plant, device, or diagram?
Use Camera Mode.

Want hands-free problem-solving while multitasking?
Use Voice Mode.

Want a real collaborative workspace to build decks, scripts, project plans, and drafts?
Use Canvas.

Want consistent output across everything you create?
Custom Instructions + Memory.

This is how you go from “using AI”
to augmenting your entire workflow.

If you want the clean, printable version, it’s below — save it, share it, and send it to your team.

AI isn’t slowing down.
But understanding how its tools actually work gives you leverage most people don’t even know exists.

Follow for more practical guides like this.

— Leo

taplio

Leonard Rodman, M.Sc. PMP® LSSBB® CSM® CSPO®'s Linkedin Analytics

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