Results my clients and I have gotten from our personal brands:

1. Me - Built a $300k per year business (that’s still growing) while investing $0 at the start and only having about $200 per month in expenses right now.

2. Marketing Agency Owner - Got 7 clients in our first 6 weeks work together, then steadily got at least 3 per month until he sold his business after 12 months.

3. SaaS Company CEO - Amassed hundreds of users and became a thought leader in the tech industry.

4. Venture Capitalist - Bought an 8-figure stake in a company after a founder DMed him because of a piece of content I created for him.

I could share 20+ more stories like those, but I think you get the point.

Having a powerful personal brand is a career cheat code, and I’ve cracked the code on building them.

Here are some ways you can do the same:

1. Apply to be one of my clients. I’m very careful about who I work with, but if the fit is right, I’d love to partner up.

2. Subscribe to my newsletter and get a free 45-page personal branding guide (10 viral post templates included).

3. Buy the last course I’ll ever sell. It covers everything in the personal branding game and is $100 off for the first 1000 buyers.

4. Book a 1:1 consultation. If you want personalized advice with no long-term commitment, this is the option for you.

Links to all of those are in my featured section.

And if you're not interested in any of them, just give me a follow. You'll still pick up a ton of useful info from my posts.

I'll see you on the timeline 🤝

Charles Miller

Want to grow on LinkedIn? Get my course (it's free) ↓

Results I've delivered to my clients and customers:

1. Freelancer - Went from 0 to $20k/mo in 5 months.
2. Agency Owner - Got 7 clients in our first 6 weeks.
3. Coach - Went from having 2 clients to 8 in 3 months.
4. Course Seller - 196% sales increase in 3 months.
5. SaaS CEO - Acquired 50+ paid users per month.
6. Founder - Sold his startup to a PE firm for $10m.
7. Influencer - Got 72,000 followers in 9 months.

I've also helped thousands of professionals get jobs, connections, and more.

Having a strong personal brand, great content, and persuasive copywriting is a cheat code, and I know exactly how to get all of them for any kind of creator. Especially ones that sell services.

Here's how you can do the same:

1. Join Copyblogger Academy. It gives you 6 courses, 10 ongoing education videos every month, expert Q&A, and a lot more. Your first month only costs $1. Hit the link in my featured section to join before prices rise.

2. Get hands-on help with your personal branding strategy, feedback on content, and direct growth assistance in my higher-priced LinkedIn Accelerator. DM me "Accelerator" to get more info on this.

I can't wait to work with you.

Founder

I sell a variety of products and services that help people write better, grow their social media pages faster, and increase their online earnings.

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.
➕ Follow me, Ashley Nicholson, for more tech insights.

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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