I help health and medical tech companies ensure adoption and lasting impact by translating complex technology into clear value for clinicians, administrators, and patients.

𝗬𝗼𝘂𝗿 𝗯𝗲𝘀𝘁 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝘄𝗮𝗻𝘁 𝗮 𝘁𝗿𝘂𝘀𝘁𝗲𝗱 𝗮𝗱𝘃𝗶𝘀𝗼𝗿, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮 𝘃𝗲𝗻𝗱𝗼𝗿.

They want strategic partnerships that drive measurable outcomes, proactive relationship management that anticipates their needs, and data-driven insights that influence their business decisions.

That's what I deliver as a Client Success Manager by:

🎯 Driving revenue growth through strategic account management and expansion initiatives 
📊 Leveraging data storytelling to make compelling recommendations that influence stakeholder decisions
🤝 Building trusted advisor relationships at all organizational levels through active listening and stakeholder-focused communication

I was inspired to focus on client success after overcoming two malignant brain tumors at 15, learning what's possible when teams align around common goals with clear communication and mutual support. 

This experience shaped my approach to:

Strategic relationship building - I connect clients with network resources beyond my scope, becoming their go-to trusted advisor for business challenges.

Cross-functional collaboration - I excel at facilitating communication between departments, ensuring seamless client experiences while keeping projects on budget and timeline.

Proactive account management - I treat challenges as opportunities, using analytical skills to identify solutions before they become problems. (Pivoted a critical La Familia anti-Fentanyl campaign after major stakeholder departure, leading cross-functional teams to successful regionwide deployment.)

Product expertise and translation - I absorb complex technical knowledge and translate it into revenue-driving outcomes for diverse decision-makers. (Helped Enovix distill 45-minute technical explanations into compelling 2-minute stories, supporting their $1.13B SPAC and $250M Army contract.)

Client retention and satisfaction - I genuinely celebrate when stakeholder connections I facilitate lead to breakthrough partnerships and business wins.

I host The Human Connection Podcast, exploring how companies build high-retention relationships that drive sustainable growth. (https://podcasts.apple.com/us/podcast/the-human-connection-podcast/id1789888599)

Ready to discuss how I can drive client satisfaction, retention, and revenue growth for your team? Email kpontau@gmail.com or send a DM. 

Let's connect!

Karl Pontau

This actually matters.

Men -- including myself -- need to step up and demand accountability from those in power. 

Thanks to Natalie Charles, PMP for tagging me.

#Justice #Accountability

Former Founder Who Gets Client Struggles | Client Success | 19x Adoption Growth | Human Connection Nerd | Seeking CSM Roles 🧠

Acquiring Inbound Leads for B2B Founders with Personal Content Programs • Explaining Content, one Ugly Drawing at a time

Content steals focus, I know. Writing, formatting, visuals, posting cadence, and keeping up with comments. It becomes a weekly tax, then it gets dropped, then inbound stays unpredictable.I build an Authority Engine for B2B Tech Founders. It turns your existing knowledge into consistent content that makes you look like the category leader, without you writing a word.What you get:1) 100% custom AI voice cloneWe extract your voice from your real materials. Whitepapers, sales calls, internal docs, Slack messages, past posts, and anything else that reflects how you think and speak. No generic templates.2) LinkedIn Autopilot5 high converting posts per week, ghostwritten, formatted, and ready to publish. You do not write, format, post, or search for visuals. You approve drafts with a simple yes or no.3) Search Dominance pack2 SEO optimized long form articles per month, derived from your LinkedIn content, so your authority compounds beyond the feed.First week of content can go live within 48 hours of onboarding. You can see engagement on day 1. Your only job is approvals.I will write 3 posts for you for free using your data, so you can see the voice match before you pay. If the first week does not sound exactly like you, or better, I rewrite it until it does, or you do not pay.Best for founders who have real insight and a real product, but do not want content creation to compete with building, selling, and hiring.If you want to test the voice clone, message me: “3 posts”.

Kuba Czubajewski

I recently changed my banner to this one below and you might think I went insane:

This is not a typical path content people choose for their businesses.

“Free value” beyond a regurgitated ChatGPT lead magnet is a rare thing here.

My thinking is this:

I built an Authority System for copying B2B founders’ voice with AI.

It’s GOOD. Took me about a year to get here. 

And the easiest way to prove it is to show my potential clients how it works.

Yes, building a sample assistant is harder than posting fancy carousels and “vulnerable” fake-ass stories

But I’ve always been more of a show-don’t-tell kinda guy and not planning to stop now.

Curious how it works? Dm me “3 posts”

I’ll write 3 LinkedIn posts for free, in your voice. If it sounds like you (or better), we install your AI Authority Engine in 90 days.

A year ago I thought I had it figured out:

Build a content agency for B2B founders. Use AI to do the heavy lifting. Keep costs low, scale fast. Simple.

What actually happened: 

I spent months building something nobody wanted to pay for.

The first version of the system was basically:

1. take the founder's old posts
2. dump them into a prompt
3. generate something that kind of sounded like them

The output was fine. Technically competent. The kind of content that gets 15 likes and zero leads.

I wasn't impressed with myself tbh. Neither were my clients.

So I overcomplicated everything:

A 12-step onboarding process, 5 different content formats, a pricing page that looked like a software feature comparison matrix...

I was trying to cover every possible use case for every possible client, and the result was that nobody could figure out what I actually did.

The solution was so stupidly simple, I facepalmed when I finally got there:

I started interviewing founders instead of just ingesting their existing content.

Turns out the best content a founder can publish isn't what they've already written.

 It's what they say when someone asks them the right questions:

- the unguarded takes
- the specific stories
- the things they'd never think to write down but say out loud constantly

Once I built the system around that – extract the thinking first, then write – the output stopped sounding like AI trying to be human and started sounding like the founder on their best day.

That took about a year to nail.

The offer got simpler too:

Interview you -> Write it up -> Publish it -> You approve the drafts. 

That's the whole thing.

If you want to see what it looks like, DM me "3 posts" – I'll write them for free before you spend anything.

Instead of spending 3-5 hours on my content, I have a full week of viral topics ready in 30 mins. Here's how:

Comment VIRAL for full prompt + setup instructions.

You really don’t need to be spending hours every day to find viral topics for your content.

I built an AI agent that does it all for me - and sends me 10 ideas every day, based on:

• Recent news
• Big announcements
• Reddit threads from the niche

I then ask the writing AI assistant to write the full draft of the post or reel script for me - and I’m done.

Quick tip if you hate when AI says "It's not X, it's Y..."

This rhetorical device is called "contrastive reframing using antithesis structure."

Hard-prompt it into your content assistant to avoid it (example below).

Also, from my tests, Claude 4.6 is much better at this that GPT models.

PS. Let me know any other annoying things AI uses - I'll show you how to remove them from the outputs.

I've been inside a lot of AI content setups lately. 

Usually, it’s a single prompt, no real architecture:

A prompt produces something that sounds okay one day and off-brand the next.

What I built for myself first, now for clients, runs on 8 layers:

1. A voice profile: formality level, POV, energy, humor notes

2. A writing style guide: sentence rhythm, paragraph rules, formatting settings

3. A preferred/banned word list: the exact vocabulary the AI can and can't touch

4. Content pillars: the strategic territory the brand owns (and what it doesn't)

5. A CTA library: specific closing lines and keyword triggers, not improvised

6. An editorial guardrails file: a list of hard limits for the AI

7. A reference database: curated post examples labeled by format, hook type, and why they worked

8. A master prompt: the architecture that connects all 7 layers and tells the AI how to operate

Each layer feeds into the next. Remove one and the output starts drifting.

For example, the voice profile without the banned word list sounds right tonally but uses language the person wouldn't say out loud.

If you want to see what each layer looks like in practice, reply "SYSTEM" and I'll send you the breakdown.

How I helped a B2B consultancy business (very niche) start showing up in AI search:

We focused on turning their LinkedIn content into long-form SEO articles built around real opinions, specific frameworks, and language that maps to actual buyer problems.

AI tools cite sources that are clear and substantive. Since their LinkedIn content had this already, expanding it into articles became much easier.

The results measured over the last 90 days:

Overall: 1,619 AI bot hits → 4,163. That's 3x.
Homepage: 514 → 946. Almost 2x.

Every hit is ChatGPT or Perplexity pulling from their site while a buyer is actively researching. That's pipeline you'd never see in a cold outreach report.

If you want to see what this looks like for your niche, reply ENGINE and tell me what you sell.

200,000 people just watched a creator get stood up by a brand's AI chatbot:

Reformation used AI to manage its influencer outreach. It confirmed a collaboration, set up a store visit, and ran weeks of back-and-forth with a creator.

She drove an hour to the store, shot video in the dressing room... The manager had no idea who she was.

TikTok called it "an AI bot that went rogue." Reformation sent her a sweater as an apology.

Here's my read on what actually happened: 

AI made commitments nobody at the brand had authorized. And no human was watching the inbox it was running.

The bot did exactly what it was built to do - respond, confirm, follow up. 

But nobody told it where to stop. That's a systems failure.

AI doesn't know when it's overstepping. The tool runs until you build a stop - and plenty of AI marketing setups skip that step entirely.

There are places where automation works well: segmentation, sequences, content drafts.

And then there are contexts that require a human in the seat: real commitments, real relationships, anything a creator or partner will hold you to.

I put a lot of emphasis on that while working with my clients on their content assistants.

First draft can (and should) come from the AI. But the human editor before anything goes live is a must. 

Doesn't matter how good your AI tool is. If there's no one monitoring what it's agreeing to, you're one post away from a mess.

The CEO of impact put it well: "Human credibility becomes more valuable, not less."

That's the thing marketing teams running AI tools aren't accounting for right now, imo.

🛑 STOP writing content like this:

1. Sit down to write on Sunday
2. Spend 30 mins staring at a blank page
3. Use AI with a generic prompt to help you
4. Publish weak af “thought leadership”
5. Cringe and repeat the next week

You literally sit on hundreds of content ideas from your work. Ones that will actually bring clients closer to you.

You just have to find them. If you want me to show you how, hit follow.

Guys, I want to pressure test my AI content system on some HARD AF content. So, let me ask you:

What’s the hardest niche to create engaging, meaningful content for? 

Drop it in the comments.

I’ll create videos of me trying to build content assistants for this niche and see if it actually works.

Jensen Huang said NVIDIA plans to run on 100 AI agents per human employee:

The takes I've seen since GTC range from "automation apocalypse" to "amazing, time to scale content." Both miss the real question.

Content creators who use AI daily are already running multiple agents. They just rebuild them from scratch each time they open a new chat.

Same generic prompt, no memory of your voice, and no context about your audience or what you actually do.

I've been building content systems for B2B founders for about two years, and the ones getting consistent output from AI use four specialized setups:

• research agent: scoped to specific sources, industries, and the exact topics the founder wants to be known for

• first-draft agent: system prompt built around the founder's real voice, not "professional yet conversational"

• editing agent: calibrated to flag anything that sounds generic or off-brand before it gets near a publish button

• repurposing agent: given strict format constraints per platform, so the output doesn't need a full rewrite after

Each one has a clear job and real constraints. None of them tries to do all four in a single chat window.

The ratio Jensen announced might become standard for enterprise ops. 

For content, the ratio that matters is how many of your AI setups have a specific job versus how many are just a blank prompt with no context.

"Use better hooks" is not the ultimate answer to successful content here anymore: 

LinkedIn overhauled its recommendation engine with transformer-based LLMs this month. 

The system now ranks posts by semantic meaning and user intent, not just engagement count.

I've been thinking through what this changes for how I write and how I coach clients on content. A few things worth adjusting:

1. Write with a specific position on a specific problem

Vague industry observations have no semantic home - they match nobody's actual reading pattern. Sharp, specific takes surface to the right readers more reliably.

2. Use the language your audience actually uses to think about a problem, not the polished version

Semantic matching reads context, not just keywords.

A post that keeps someone reading sends a stronger distribution signal than one that collects fast reactions and gets scrolled past.

Strong hooks are important, but the entire body of the post should keep people reading.

One honest caveat: LinkedIn hasn't published full detail on how each signal is weighted in the new system. 

This is directional. Watch your own reach data over the next few weeks before overhauling anything.

What are you noticing in your reach since the update?

taplio

The Battle

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Kuba Czubajewski

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taplio

The Battle

Karl Pontau

Kuba Czubajewski

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);}Karl Pontau's LinkedIn Performance

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Performance ScoreKarl Pontau's LinkedIn Performance