The Blueprint

Growth Partner

Cogniva

You want to generate demand for your business and build and expert presence on LinkedIn. 

I know how. 

Most founders I've worked with has these problems: 

- Being invisible on LinkedIn 
- Struggling with ideas and consistency 
- Spending too much time writing content that doesn't resonate

I use content to position you as the leading authority in your industry and make sure your ideal client recognises themselves in every line you publish. 

What's in it for you? 

- A personal brand that positions you as a leading expert in your industry
- A demand for your services
- Visibility for your business
- Warm leads

Best of all? You don't have to worry about it anymore. 

And you can go back to what you do best - serving your clients.

Founder

Data Scientist

CareerFoundry

Course Reviewer

Data Science Content Creator

Experian

Associate Data Modeller

Decision Technology Ltd

Data Analyst - Commerse

rublys GmbH - gamified mobile marketing

Market Analyst

Wiener Gesundheitsförderung

Analytics Project Assistant

Helping you get more business through a real data-driven strategy | Curate a highly tailored and relevant network | Attract high-ticket clients without living on LinkedIn | Founder and CEO @Cogniva Analytics

1.5 years ago, my business was relying on inbound leads only. I was stuck in a feast-famine cycle. 

Today, I’ve helped build a successful multi-6-figure coaching company, The Blueprint.

In doing so, we had to master how to:

- Book qualified sales calls
- Turn them into paying clients
- Do it consistently

Without:

- Working 12-hour days behind a laptop
- Waiting months for results
- A large audience or advanced marketing skills

Now, we generate 5-10 leads per day.

And we’ve helped 200+ coaches and consultants do the same:

📌 Hasan Kubba: £120,000 in new revenue
📌 Sam Eaton: Sold out multiple masterminds (£5K per client)
📌 Harrison Cantel: Scaled from £4,000/mo → £10,000/mo
📌 Harry Phokou: Increased revenue from €2,000 → €8,000/mo
📌 Beth Hocking: Grew from 5 → 15 leads a month
📌 Ross Brown: Signed 12 clients in 3 months
📌 Matthew Proctor: Closed $40,000 in monthly retainers
📌 Camilia Berrada: Sold her £15,000 programme
📌 Chris Tran: $20,700 closed in 4 weeks
📌 Maya: 13 booked calls & 2 inbound leads in 28 days
📌 Gail: Booked her first ever sales calls in 3 weeks
📌 Maria Reid: 10 sales calls & 5 inbound leads in 1 month
📌 Dan: Booked 30 sales calls & 5 new clients in 3 months
📌 Susan: Signed a £6,000 contract in just 57 days
📌 Hollie: Booked 3 sales calls in her first 3 weeks
📌 Megan: Consistently booking 5+ sales calls a week
📌 Jesse: Grew from £6K → £10K/month in 4 weeks
📌 Emory: Closed £15,000 in his 1st month
📌 Sam: Books 3-5 meetings weekly with high-net-worth clients
📌 Deveshi: 5-6 calls booked weekly → 4 clients signed in 2 months
📌 Jordan: 5 calls per week consistently after 2 months
📌 Sonali: 8 weeks → 9 qualified leads & 2 new clients
📌 Alan: Signed 2 new clients, £5k monthly revenue in 21 days

To name a few.

If you’re serious about growing your coaching or consulting business, use the ‘book an appointment’ link to see if you’re ready for our program.

Dana Daskalova 🟠

81k | Director, Data & Analytics/ AI @ Gartner

Summary

Making state-of-the-art Artificial Intelligence concepts accessible and profitable to professionals from any background for over 35 years!

Highlights
-  Veteran innovator with 3 decades of experience leading state-of-the-art AI and Analytics ventures
-  98% of students surveyed would recommend me to peers
-  Generative AI/ Agentic AI expert-  ChatGPT, Claude, Copilot, Perplexity, Lovable, n8n, more
-  Experienced AI instructor for Cisco, LinkedIn Learning, University of Pennsylvania, & Simplilearn
-  Senior AI Curriculum Advisor for Graduate School of Education at Ivy League university UPenn
-  Winner, International Society of Data Scientists Outstanding Voice Award
-  Social media leader with over 107k LinkedIn followers


Selected Clients
 
-  3M
-  Audi
-  Biogen 
-  Booz Allen Hamilton
-  Bristol-Myers Squibb
-  Cisco
-  Citicorp
-  Franklin Templeton
-  Gartner/ Evanta
-  Harvard Innovation Labs’ Experfy
-  IBM
-  International Olympic Committee
-  Los Angeles Times
-  Mercedes
-  Morgan Stanley
-  Royal Bank of Canada
-  St. Jude’s Children’s Hospital
-  Wells Fargo
-  US Homeland Security
-  US Veterans Administration 
-  Yale University

Partial Skills Inventory
 
-  AIOps
-  Accountable AI/ Ethics
-  Anomaly Detection
-  Anthropic/ Claude
-  Artificial Intelligence
-  AWS
-  Brokerage Firms
-  Client Management
-  Consulting
-  Compelling Presentations
-  Compliance Regs and Frameworks
-  Curriculum Development
-  Dashboards
-  Data Storytelling
-  Data Visualization
-  Education
-  Explainable AI
-  Feature Engineering
-  Financial Services
-  Fraud Detection
-  Gap Analysis
-  Generative AI
-  GitHub Models
-  Google Cloud
-  Google Gemini
-  Insurance
-  KPI's and Metrics
-  Lovable AI
-  Machine Learning
-  Microsoft Azure
-  MLOps
-  Model Ensembles
-  Nano Banana
-  OpenAI/ ChatGPT
-  Orange Data Mining
-  Perplexity
-  Postgres SQL
-  Professional Development
-  Research
-  Retail
-  Retention and Attrition
-  SPSS
-  SQL Server
-  Underwriting

T. Scott Clendaniel

🔬 #ArtificialIntelligence 𝗛𝗶𝗿𝗶𝗻𝗴- 𝗝𝘂𝘀𝘁 𝗪𝗵𝗮𝘁 𝗔𝗥𝗘 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗿𝘀 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗙𝗼𝗿?

The Terrible Facts:

- Artificial Intelligence needs a lot more experts.
- Tons of qualified professionals aren't getting hired.
- The expectations of hiring managers are just out of control.

If you're a hiring manager, please STOP looking for an entire department in just one employee.  It simply doesn't work that way.  You need a team.

Personally, I find the job search to be truly dreadful. It is exhausting, soul-crushing, depressing, dispiriting- actually, I will run out time before I run of negative emotions on this topic!  

But I hold out hope that one day everyone else will figure this out!

Please follow me for more analysis! 

- T. Scott Clendaniel

🥳 || #AI Training for 3.1 Million Worldwide || 111K Followers || Follow me for genuine ROI from AI!!

🔬 #Learning #AI:  𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲!

PLEASE 𝗦𝗔𝗩𝗘 𝗮𝗻𝗱 𝗦𝗛𝗔𝗥𝗘 this so your team can take advantage of it!

Claude Code has absolutely EXPLODED and taken the lead by a country mile.

So please don't let poor project structure defeat you!  Fortunately, we have the amazing Brij kishore Pandey, the king of project structures, to show a better approach.


🧭

🥳 || #AI Training for 3.1 Million Worldwide || 110K Followers || Follow me for genuine ROI from Artificial Intelligence and LinkedIn!

#AI #ArtificialIntelligece: Claude Code Project Structure!

Sharing some PURE #Wisdom!  🥳






(Go follow Carmen Morin- she is constantly sharing gems 💎 like these!)

#1 LinkedIn Education Creator 🇨🇦 | Performance-Based Learning Strategist & Keynote Speaker | Concert Pianist Turned 7-Figure Education Founder

It's not about the money you offer. 

It's about the environment you create.

Most "retention strategies" completely miss the point.

Leaders obsess over compensation packages.

While their people dread Monday mornings, toxic meetings, and feeling invisible. 

A raise loses its shine in weeks.

But culture impacts you from the moment you wake up.

❌ Toxic cultures drain talent regardless of salary because they:

↳ Create stress that money can't compensate for 
↳ Limit growth potential and career advancement 
↳ Foster competition over collaboration 
↳ Ignore individual strengths and development needs 
↳ Prioritize output over human well-being

✅ Healthy cultures outperform pay raises because they:

↳ Build psychological safety where people can be authentic 
↳ Foster continuous learning and growth opportunities 
↳ Create meaningful connections between team members 
↳ Recognize contributions beyond just compensation 
↳ Align individual purpose with organizational mission 
↳ Support work-life integration, not just balance 
↳ Encourage experimentation without fear of failure

You can't buy your way out of toxic culture. 

You have to build your way out.

The best talent chooses environments, 
not just paychecks.

♻ Repost to champion culture-first leadership. 
🔔 Follow Carmen Morin for more on human-centered systems.

🔬 #AI: The Problem With All Those Plans to Replace Senior Executives

𝗡𝗲𝘄 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲 𝘃𝘀. 𝗮 𝗠𝗮𝘀𝘁𝗲𝗿 by Ravi Samrat Mishra 

So you have AI.  You're going to wipe out BOTH expensive existing talent AND new hires. You think you can just bring in agents to replace all that experience.

You might want to think again.  

Check out the video.  The younger employee is doing a heck of a lot of work.  In fact, he creates the crack that the "master" later exploits.

AI didn't swing a single hammer.  

YOU NEED to be onboarding the next generation!


𝗧𝗼𝗽 𝗧𝗶𝗽𝘀 𝗳𝗼𝗿 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗡𝗲𝘄 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀
-------------------------------------------

𝗦𝘁𝗮𝗿𝘁 𝗲𝗮𝗿𝗹𝘆: Begin training new hires on their first day so they are eager to learn and don't get lost to another organization. 
 
𝗖𝗿𝗲𝗮𝘁𝗲 𝗮 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗽𝗹𝗮𝗻: A plan with clear goals helps employees understand expectations and gives managers a consistent way to train new hires. 
 
𝗣𝗿𝗼𝘃𝗶𝗱𝗲 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: Make training materials easily accessible and prepare onboarding resources. 
 
𝗨𝘀𝗲 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆: Create courses, test learning, and track progress using technology. 
 
𝗔𝘀𝘀𝗶𝗴𝗻 𝗮 𝗺𝗲𝗻𝘁𝗼𝗿 𝗼𝗿 𝗯𝘂𝗱𝗱𝘆: A mentor can help new employees feel valued and learn from someone already in the organization. 
 
𝗣𝗿𝗼𝘃𝗶𝗱𝗲 𝗿𝗲𝗴𝘂𝗹𝗮𝗿 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸: Feedback helps employees develop their skills and recognize their potential. 
 
𝗧𝗿𝗮𝗶𝗻 𝗼𝗻 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝘃𝗮𝗹𝘂𝗲𝘀: Ensure new hires understand the company's vision, goals, and values. 
 
𝗘𝗻𝗰𝗼𝘂𝗿𝗮𝗴𝗲 𝘀𝗵𝗮𝗱𝗼𝘄𝗶𝗻𝗴: Allow new employees to shadow more experienced employees. 
 
𝗨𝘀𝗲 𝗼𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Onboarding automation can streamline and modernize the onboarding process. 

Credit: https://bit.ly/3O3cWn6

- T. Scott Clendaniel, AI Educator

LinkedIn Top Voice | Personal Branding Strategist & Executive Mentor | 81M+ Views | Helping Leaders & Founders Build Authority that Converts.

Hardest Part of Parenting?

Raising a human is the hardest work we will ever do. It is much more than just keeping them safe or making sure they have what they need. Our children are like little mirrors that reflect every single thing we do back at us. They do not just listen to our words, but they watch how we move through the world, even when we think they are not looking.

They see how we treat a stranger on the street and how we react when we are tired or frustrated. Our children mimic our morals and our behaviours every single moment of the day. They are learning from us even when we are not trying to teach them anything at all. It is a heavy weight to realise we are their primary map for life.

Every choice we make today becomes the voice inside their heads tomorrow. It makes me stop and look at my own actions with a lot of honesty. Am I being the kind of person I want them to grow up to be? We are not just raising kids, but we are shaping the future of how people treat one another.

How would you like them to be when they grow up?

#Parenting #Character #Legacy #Mindfulness #Inspiration

Children & Teen Personal Development Coach | I help students build self-belief/confidence through my Lead With Love program, empowering parents & teachers with leadership & emotional intelligence, grounded in Taekwondo.

View Ligia Chacón Hernández’s profile

Don’t Wait Too Long to Love ❤️

A little girl ran through the animal shelter, excited to find a dog.🐶

Kennel after kennel… barking, jumping, tails wagging.

Until she stopped.

In the corner sat an old brown dog with gray around his eyes. Quiet. Still.

His tag read: Milo — 10 years old.🐶

While the others barked for attention, Milo simply walked over and rested his head against the bars when she approached.

“I want him,” she said.

Her parents gently explained that Milo was very sick.
He might not have much time left.

She didn’t understand time.

She only understood that he had been waiting.

They promised to think about it and come back.

But the next morning, when they called the shelter…

Milo had passed away during the night.

The volunteer said he was found lying by the kennel door.

As if he was still waiting.

Sometimes the ones who wait the longest
are the ones we overlook the fastest.

Adopt the older dog.
Choose the one no one else sees.

Because love doesn’t need years.

Sometimes it just needs a chance. ❤️


Follow #Motivation #leadership #India #leadershiplove  #creativity #WhatInspiresme #education

#Advertisting #GenAI #Marketing 🎉👏🎉
⬇️⬇️⬇️  Most Stunning 3D Billboards Around the World!  ⬇️⬇️⬇️



𝗜𝗻𝗰𝗹𝘂𝗱𝗲𝘀:

 ▶▶ Audi
 ▶▶ BMW
 ▶▶ Coca-Cola
 ▶▶ Google 
 ▶▶ Louis Vuitton 
 ▶▶ Mercedes
 ▶▶ Netflix
 ▶▶ Nike
 ▶▶ NINTENDO WORLD™
 ▶▶ Spider-Man
 ▶▶ Super Mario Bros 
 ▶▶ VERSACE
 ▶▶ WhatsAPP


T. Scott Clendaniel

🔬#Learning #AI: Ten Commandments of AI Agents

How I wish I thought of these myself!  But I'm happy to share them.


The Commandments

➡️  Don't use agents just to "show off"
➡️  Agents need 2 characteristics: small, specialized, and decoupled
➡️  Enforce structured output
➡️  Explain the "why"
➡️  Orchestration is more important than autonomy 

➡️  Prompt Engineering Beats Fine-Tuning 
➡️  Tool 🔧 descriptions are VITAL
➡️  Cache like you mean it
➡️  Leverage shared artifacts
➡️  Log everything (seriously!)


Go support Jothi Moorthy!

-T. Scott Clendaniel

𝟏𝟎 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞𝐬 𝐄𝐯𝐞𝐫𝐲 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐒𝐡𝐨𝐮𝐥𝐝 𝐅𝐨𝐥𝐥𝐨𝐰 𝐖𝐡𝐞𝐧 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬
Many teams rush into using AI agents without a clear strategy, often ending up with bloated, unreliable systems. Building powerful, production-grade AI agents requires discipline, structure, and thoughtful design choices. Here are 10 essential principles that separate hobby projects from scalable solutions:

𝟏. 𝐃𝐨𝐧’𝐭 𝐔𝐬𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 𝐉𝐮𝐬𝐭 𝐭𝐨 𝐒𝐚𝐲 𝐘𝐨𝐮 𝐃𝐢𝐝
Use agents only where they truly add value. If a simple tool integration works, don’t overcomplicate it with orchestration.

𝟐. 𝐒𝐦𝐚𝐥𝐥, 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐞𝐝, 𝐚𝐧𝐝 𝐃𝐞𝐜𝐨𝐮𝐩𝐥𝐞𝐝
Break big workflows into smaller specialized agents: Support, Manager, Verifier. Each should have a clear role.

𝟑. 𝐄𝐧𝐟𝐨𝐫𝐜𝐞 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐎𝐮𝐭𝐩𝐮𝐭
Always define output formats. This reduces ambiguity, improves reliability, and makes downstream processing easier.

𝟒. 𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐖𝐡𝐲, 𝐍𝐨𝐭 𝐉𝐮𝐬𝐭 𝐭𝐡𝐞 𝐖𝐡𝐚𝐭
Agents should understand context. When they know the why, they make better decisions.

𝟓. 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐎𝐯𝐞𝐫 𝐁𝐥𝐢𝐧𝐝 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐲
Orchestrate multiple steps intelligently instead of relying on a single agent to do everything. This boosts flexibility and reduces failure.

𝟔. 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 > 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠
Maximize what you can do with retrieval, RAG, prompt patterns, and few-shot techniques before reaching for expensive fine-tuning.

𝟕. 𝐃𝐨𝐮𝐛𝐥𝐞 𝐃𝐨𝐰𝐧 𝐨𝐧 𝐓𝐨𝐨𝐥 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧𝐬
Agents need crystal clear instructions on how and when to use tools, including what to avoid and constraints to follow.

𝟖. 𝐂𝐚𝐜𝐡𝐞 𝐋𝐢𝐤𝐞 𝐘𝐨𝐮 𝐌𝐞𝐚𝐧 𝐈𝐭
Avoid unnecessary calls. Cache results and orchestrate smartly to reduce costs and latency.

𝟗. 𝐔𝐬𝐞 𝐒𝐡𝐚𝐫𝐞𝐝 𝐀𝐫𝐭𝐢𝐟𝐚𝐜𝐭𝐬
Use shared document IDs or structured outputs to avoid data duplication and improve collaboration.

𝟏𝟎. 𝐋𝐨𝐠 𝐄𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐒𝐞𝐫𝐢𝐨𝐮𝐬𝐥𝐲
Good logging makes debugging, optimization, and scaling infinitely easier. If it’s not logged, it did not happen.

𝐓𝐡𝐞 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐚 𝐛𝐚𝐬𝐢𝐜 𝐚𝐠𝐞𝐧𝐭 𝐚𝐧𝐝 𝐚 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐬𝐲𝐬𝐭𝐞𝐦 𝐥𝐢𝐞𝐬 𝐢𝐧 𝐭𝐡𝐞𝐬𝐞 𝐝𝐞𝐬𝐢𝐠𝐧 𝐜𝐡𝐨𝐢𝐜𝐞𝐬. 𝐖𝐡𝐢𝐜𝐡 𝐨𝐟 𝐭𝐡𝐞𝐬𝐞 𝐩𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞𝐬 𝐝𝐨 𝐲𝐨𝐮 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐟𝐨𝐥𝐥𝐨𝐰 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐛𝐮𝐢𝐥𝐝𝐬?

♻️ Repost this to help your network get started
➕ Follow Jothi for more

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T. Scott Clendaniel

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The Battle

Dana Daskalova 🟠

T. Scott Clendaniel

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