Scott D. Clary

Founder of the Success Story Podcast (#1 Entrepreneur Pod) | Founder of The Social Club & I write a free weekly newsletter to 321k people.

Start here ➡️ https://newsletter.scottdclary.com

ScottDClary.com / SuccessStoryPodcast.com

📬 scott@scottdclary.com

𝗟𝗘𝗧'𝗦 𝗖𝗢𝗡𝗡𝗘𝗖𝗧

📧 Email me at scott@scottdclary.com for speaking, interviews, podcasts or any other requests

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Advisor / Partner

On the Success Story podcast, Scott has candid interviews with execs, celebrities, notable figures and politicians. All who have achieved success through both wins and losses, to learn more about their life, their ideas and insights. 

He sits down with leaders and mentors and unpacks their story to help pass those lessons onto others through both experiences and tactical strategy for business professionals, entrepreneurs and everyone in between.

To get more of the Success Story podcast, go to www.podcast.scottdclary.com or www.youtube.com/c/scottdclary.

Eric Dane’s last words to his daughters are something I can’t stop thinking about. I hope you take a few minutes to listen.

He passed away from ALS at 53, just 10 months after his diagnosis.

While he was speaking to his girls, this message is for every single one of us.

He didn’t talk about his career, his money, or his legacy. 

He talked about being present. About love. About the people you choose to keep close.

We could all use that reminder today.

@netflix

I’m the founder of WWA, a modern media & marketing agency, the host of Success Story (#1 Entrepreneur Podcast - 50m+ downloads) and I write a weekly email to 321,000 people.

Most people aren't lazy.

They're just stuck in the wrong phase.

Here's what I mean:

When you're lost, you don't need motivation.
You need education.

When you're educated, you don't need another course.
You need to execute.

When you're executing, you don't need a new strategy.
You need consistency.

The problem is most people keep buying courses when they should be shipping work.

Or they keep shipping work with no plan because they skipped the learning phase.

Progress isn't complicated.

It's sequential.

Figure out which phase you're in.
Then do the one thing that phase demands.

That's it.

Nobody talks about this enough:

The bar is on the floor.

Not because people lack talent.
Not because they lack resources.

They lack consistency.

Most people show up excited on Day 1.
By Day 14, they're "reassessing their strategy."
By Day 30, they've moved on to something else entirely.

Meanwhile, the person who just keeps showing up — good attitude, no drama, ready to work — starts pulling ahead.

Not because they're special.
Because everyone else quit.

That's the unsexy truth about getting ahead:

You don't need to be the best.
You need to be the last one standing.

—

I write a weekly newsletter where I unpack these ideas.

→ newsletter.scottdclary.com

You can feel the difference the second someone walks in.

Some people make the room smaller. Not intentionally. Just by how they operate.

Others make it bigger. And it has nothing to do with how successful they are.

I've been in rooms with billionaires who sucked the air out and broke guys who made everyone feel like they mattered.

The difference is never talent. It's never status.

It's whether they came to give or came to collect.

—

I write a weekly newsletter where I unpack these ideas.

→ newsletter.scottdclary.com

I've talked to hundreds of successful people on my podcast.

The thing that separates them isn't talent. It's not connections. It's not some morning routine they bought from a course.

It's how they treat the stuff everyone else ignores.

A meeting that went sideways? They're replaying it on the drive home figuring out what they missed.

A coworker who disagrees with them? They're genuinely curious why instead of getting defensive.

A project that completely failed? They're pulling it apart like an engine to see which piece broke.

Most people only learn when they're sitting in a class or reading a book. That's maybe 1% of their week.

These people are learning 100% of the time. Because they decided everything counts.

It's not a hack. It's a posture. And it compounds faster than anything else I've seen.

—

I write a weekly newsletter where I unpack these ideas.

→ newsletter.scottdclary.com

Turning Data Into Better Decisions | Follow Me for Daily Tips to Make You More Tech Savvy | Technology Leader & Entrepreneur

Working in technology for 20 years, I knew organizations and clients needed more help than industry was providing:

Here are some of the real challenges I saw clients and organizations facing:

➕Feeling like people were throwing technology solutions at them without fully understanding the problem
➕ Knowing their data could be used for much more but not knowing how to do this
➕ Not having trusted and skilled advisors to be able to help them make technology decisions
➕ Feeling overwhelmed by the rate of technological change and not knowing where to begin
➕ Not having enough training or understanding to evaluate technology solutions
➕ Technology transformation failing because the people element was ignored
➕ Consultants not connecting the mission with the solution and technology

To solve these challenges, I knew I needed to start a dynamic technology company to bring together world-class talent to help our clients make better decisions through data and AI and to help organizations use these technologies to support their missions.   

In 2022, Avenir Technology was born. Avenir means future. Because as Peter Drucker said, "the best way to predict the future is to create it." 

We are a team of 15 people who help our clients feel more comfortable with technology and help them adapt to new technologies faster and solve their organizational problems.

Our clients are in the public and commercial sectors. 

To learn more, visit: www.avenirtechnology.net. 

Ready to get started?  Book a 1-1 call with me: https://calendly.com/anicholson-dfa/30min.

 Want more tech insights? Follow me!

Ashley Nicholson

After 20 years leading technology projects, I hear executives say their AI agents are "secure enough." 
Because they passed basic penetration testing:

Most organizations think AI security is just about data encryption and access controls.

But, they're missing the operational blind spots entirely.

AI agents aren't traditional applications.

They're autonomous decision-makers that operate with your organization's full authority.

Here are 7 critical vulnerabilities your security team needs to address before your next AI deployment:

1/ Token Passthrough:
↳ AI agents inherit user authentication and carry it everywhere.
↳ One compromised session cascades across multiple systems.
↳ Tokens get logged, cached, and stored in unexpected places.
↳ Most teams don't rotate AI agent credentials regularly.

2/ Credential Theft:
↳ AI agents need access to everything to do their job.
↳ Service accounts typically get excessive permissions.
↳ Memory dumps can expose stored authentication secrets.
↳ No one monitors for unusual credential access patterns.

3/ Rug Pull Attack:
↳ Training data gets subtly manipulated over time.
↳ Poisoning happens gradually and goes undetected.
↳ Affects every decision across your entire organization.
↳ Recovery means rebuilding models from scratch.

4/ Prompt Injection:
↳ Users can trick AI into ignoring safety rules.
↳ Bypasses all intended functionality and controls.
↳ Can expose confidential data or trigger unintended actions.
↳ Nearly impossible to detect without comprehensive validation.

5/ Command Injection:
↳ AI agents can execute system commands based on user requests.
↳ Crafted prompts can trigger unauthorized system access.
↳ Traditional security tools don't protect against this.
↳ Can lead to complete organizational compromise.

6/ Tool Poisoning:
↳ AI agents depend on external APIs and tools.
↳ Compromised tools inject malicious responses.
↳ Affects every decision made using poisoned tools.
↳ Looks identical to legitimate functionality.

7/ Unauthenticated Access:
↳ AI endpoints often lack proper authentication controls.
↳ Internal systems automatically trust AI-initiated requests.
↳ No audit trail for actions taken by AI agents.
↳ Creates backdoor access through AI proxy.

Think of it like giving someone a universal key to your building.

Traditional security = locks on the doors.
AI security = making sure your universal keyholders are trustworthy.

Both matter.
Neither works alone.

Security is often an afterthought.
But it shouldn't be.

What AI security blind spot are you overlooking right now?

Share below.


♻️ Repost to help someone understand AI security.
➕ Follow me, Ashley Nicholson, for more tech insights.

Credit: Graphic from Vinod Bijlani. Give him a follow.

Turning Data Into Better Decisions | Follow Me for More Tech Insights | Technology Leader & Entrepreneur

90% of AI projects are built backwards.
Here's why they fail:

Companies obsess over the latest models.
And they ignore the architecture holding it all together.

Wrong approach = wasted money.

Three architectures separate winners from losers:

1/ Traditional AI - The Workhorse:
↳ One task. Does it perfectly.
↳ Train once on past data.
↳ Fraud detection. Image recognition. 
↳ Falls apart when the world shifts.

2/ Agentic AI - The Strategist:
↳ You set the goal. It figures out how.
↳ Plans, searches, acts, adapts.
↳ Uses every tool it needs autonomously.
↳ But without facts, it makes stuff up.

3/ Agentic RAG - The Beast:
↳ Agency meets company memory.
↳ Acts, learns, remembers everything.
↳ Gets better with every decision.

Most companies pick one and wonder why it breaks.

Smart companies stack all three:
↳ Traditional AI learns patterns.
↳ Agentic AI executes strategy. 
↳ RAG keeps everything grounded.

The workflow that wins:
Retrieve live data → Reason through it → Act → Log results → Repeat

Result: AI that predicts, adapts, and rarely hallucinates.


Which architecture is your company investing in?

Share below.


♻️ Share this with someone who needs to understand Agentic RAG.
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The $285B Claude Code software selloff wasn't about technology.
It was about expectations:

CTOs are under massive pressure for 2-3x speed improvements.
But here's what most are getting wrong:

They're optimizing old processes instead of shifting to new development models.

After working with enterprise teams for 20 years, I've seen this pattern before.

The companies winning aren't just coding faster.

They're coding differently.

Here's the framework that's actually delivering results:

1/ Start with zero-code validation through vibe coding:
↳ Business teams describe what they want, AI builds it.
↳ No developer bottlenecks for testing concepts.
↳ Perfect for stakeholder demos before major investment.
↳ ROI: Validate market fit without burning engineering resources.

The smartest CTOs I know use this to kill bad ideas fast.
And fund good ones with confidence.

Tools: Lovable, Base44, Replit and Stagewise.

2/ Supercharge your current developers through AI assisted coding:
↳ 25-30% productivity boost without changing your team.
↳ AI handles repetitive work, developers focus on architecture, scale and testing.
↳ Context engineering behind the scenes orchestrates multiple AI calls.
↳ Your developers stay in control of critical decisions.

Here's what most people miss:
Spotify's most productive developers haven't written boilerplate code since December.

Let that sink in. 

They're designing systems while AI handles implementation.

The shift is accelerating:
↳ 2025: 80% AI-Assisted, 20% Autonomous
↳ 2026: 20% AI-Assisted, 80% Autonomous

Tools: Cursor, Google Antigravity, and Github Copilot. 

3/ Deploy autonomous development through agentic coding:
↳ Define business outcomes, while AI plans and executes.
↳ multi-step development with reasoning loops.
↳ ROI: Accelerate time-to-market for new products by 60-80%.

This is where the real speed improvements come from.
Not faster typing. Autonomous execution.

Tools: Claude Code, OpenAI Codex, and Google CLI Agentic Coding. 

Most companies are still stuck optimizing their current development process.

The leaders who will dominate 2026?

They're moving up the AI maturity levels for complex development work.

Speed isn't just an advantage anymore.
It's about survival.

What level is your development team operating at?

Share below.


♻️ Share with someone who needs to see this.
➕ Follow me, Ashley Nicholson, for more tech insights.

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