Tag: AI

Just a Moment for AI

Take a deep breath and think deeply. AI is becoming the structure of our world, no matter what shape or form that world takes. We are all witnessing it reshape how we think, create, decide, and execute. It’s enabling us to move faster, operate more efficiently, and, in some cases, reach a level of thoroughness that traditional processes struggle to match.

So, let’s start at square one. Why does the philosophical connection matter?

AI’s philosophical connection matters because it defines how we relate to technology – not just how we use it, but our relationship to it. It also challenges the assumption that intelligence is purely human. When a system can generate ideas, synthesize knowledge, and simulate reasoning, it pushes us to ask: What is original thought? Where does meaning actually come from? In that sense, AI becomes a kind of mirror – reflecting patterns, assumptions, and oversights, making our thinking more visible to a trained eye. But it’s not a perfect reflection. What it returns is shaped as much by the system as by us, which can create the illusion of truth when we’re really seeing a constructed projection. Used carelessly, that can blur our sense of authorship and originality. Used well, it can bring us closer to our new reality.

To elaborate.

AI may be blurring the boundary between information and discernment. While it can process, combine, and produce at scale, it lacks intent, belief, and accountability. It also doesn’t pass judgment, exhibit taste, or display empathy. These distinctions form what Blox calls your ‘Competitive Edge’. And note, these distinctions elevate us. They advance our critical thinking abilities. We move from being the primary producers of output to the editors of meaning – deciding what matters, what’s true, and what should be acted on. Most don’t see it this way, but AI gives us secret powers; it’s just a matter of recognizing them and using our self-awareness to do better work – on purpose.

And what about practicality?

In practice, AI reduces friction in how work gets done. It takes on the repetitive, time-consuming parts of work – research, synthesis, drafting, data processing – so people can focus on higher-value thinking. Instead of spending hours gathering and organizing information, you move more quickly to interpretation and decision-making – traits that might differ between man and machine.

And just to be direct about our positioning, we are on the side of humanness – because while AI compresses time, it’s still up to us to decide what that time is worth. Tasks that used to take days – thinking up social media content, writing a report, analyzing trends, building a presentation – can now be done in hours. That doesn’t just make humans faster; it changes how often we can iterate. More cycles, better outcomes. But wait, more work? We need to remember that those outcomes won’t magically explain themselves. That’s why some say AI improves collaboration. Now that we have more time to share, debate, waffle, and construct our ideas, they should carry more weight, and this, in turn, should augment our human capacity to learn.

So…

The distinction is hopefully becoming clear. Used as a shortcut, AI delivers increments. Used as a system, it compounds. Those who apply it sporadically, without understanding how to shape context or guide its output, will plateau. Those who integrate it into how they think and act critically will see exponential returns.

Better thinking. Sharper intuition. More willed execution.

Because when AI handles the production of information, what’s left is what matters most: how you interpret it, how you challenge it, and how you decide what to do with it. Thinking becomes less about generating answers and more about refining them. Intuition strengthens as you recognize patterns faster and question them more deeply. And execution improves because decisions are made with belief, empathy, judgment, accountability, taste, and intent, not just efficiency.

That’s the shift. To be in a mutually beneficial relationship with technology, not taking advantage of it, but giving and taking fairly, like how you would in a good marriage. Let’s look at how AI works with real people doing real life stuff.

Here’s example 1 of a marketing manager’s workflow to write a technical white paper:

Step 1 – Frame the topic and structure

Tools: ChatGPT, Perplexity AI, Claude

  • Pressure-test angles: “What are the most credible narratives in this space?”
  • Pull recent sources, reports, and citations
  • Build a structured outline (sections, arguments, flow)

Benefit: Faster clarity and stronger initial framing

Risk: Over-reliance on generic angles if not guided well, or applying critical thinking

Step 2 – Research synthesis

Tools: Perplexity AI, Elicit

  • Aggregate research papers, industry reports, and data
  • Summarize key findings and extract patterns
  • Cross-check sources manually for credibility

Benefit: Compresses hours of research into minutes

Risk: Missing nuance or misinterpreting source material

Step 3 – First draft development

Tools: ChatGPT

  • Feed structured outline + key points into ChatGPT
  • Generate rough sections (not final copy)
  • Focus on flow, completeness, and logical sequencing

Benefit: Eliminates blank page problem; accelerates momentum

Risk: Voice becomes flat or overly generalized

Step 4 – Refinement and editing

Tools: Grammarly, ChatGPT

  • Review for clarity, grammar, and tone
  • Tighten arguments, simplify language, or reframe sections
  • Manually inject brand voice, opinion, and specificity

Benefit: Higher clarity and readability with less effort

Risk: Over-polishing can remove distinctiveness

Step 5 – Final review and positioning

Tools: Human judgment, taste, and aligning intention (this is the differentiator)

  • Ensure claims are accurate and defensible
  • Align with brand narrative and strategic intent
  • Validate that insights are original enough to be valuable

Benefit: Maintains credibility and authority

Risk: If skipped, the content feels generic and interchangeable

Here’s example 2 of a visual artist’s workflow to understand and apply colour theory:

Step 1 – Research colour theory foundations

Tools: Perplexity AI, Elicit

  • Explore core principles (contrast, harmony, saturation, psychological impact)
  • Surface historical frameworks (Bauhaus, Itten, Albers)
  • Pull references from academic and art theory sources

Benefit: Rapid access to structured knowledge and historical context

Risk: Oversimplification of nuanced theory or missing deeper interpretation

Step 2- Study predecessors and movements

Tools: ChatGPT, Google Arts & Culture

  • Identify key artists and movements (Impressionism, De Stijl, Abstract Expressionism)
  • Analyze how colour was used intentionally across eras
  • Compare approaches (emotional vs. structural vs. symbolic use of colour)

Benefit: Faster pattern recognition across art history

Risk: Flattening distinct movements into generalized summaries

Step 3 – Translate theory into a postmodern application

Tools: ChatGPT

  • Prompt explorations like: “How would Josef Albers approach colour in a digital/postmodern context?”
  • Generate conceptual directions that blend structure with disruption
  • Explore contrast, irony, fragmentation, or reinterpretation of traditional palettes

Benefit: Expands conceptual range and reframes traditional ideas

Risk: Outputs can feel derivative without a strong artistic direction

Step 4 – Visual experimentation and iteration

Tools: Midjourney, Adobe Firefly

  • Generate visual studies based on colour prompts and themes
  • Test combinations, gradients, clashes, and unexpected palettes
  • Use outputs as references or starting points – not final work

Benefit: Rapid iteration and exploration of visual possibilities

Risk: Style homogenization or over-reliance on generated aesthetics

Step 5 – Refinement and artistic integration

Tools: Adobe Photoshop, Procreate

  • Reinterpret AI-generated ideas through your own process
  • Adjust colour relationships, composition, and texture manually
  • Anchor the work in your personal style and ensure it meets your goal

Benefit: Maintains authorship while leveraging AI for exploration

Risk: Losing originality if AI output is used too literally

I hope those examples were helpful.

Just so you know, this article came to light as I was creating a carousel for LinkedIn around three areas where AI is reshaping how work gets done. Let’s wrap up the article and review it here.

1 – Manual Thinking

AI shifts the burden from processing to interpretation. Studies show performance gains of roughly 10–25% in common knowledge tasks like writing, research, and coding when AI is used effectively. More importantly, it reallocates attention: instead of spending time gathering, structuring, and synthesizing information, we can move more quickly to judgment and decision-making, removing the shackles of demand and giving us a sense of freedom. This is where the real leverage sits. Yet many people and organizations are not there – only a small minority describe themselves as fully AI-integrated across workflows, suggesting the gap is not access or even application – it’s a reluctance to embrace what modernization requires.

2 – Creativity Block

When it comes to creativity, AI cannot replace it – it does, however, expand the surface area of possibility. AI is not here to generate the final output. It’s more about supporting iteration: reframing challenges, surfacing alternatives, and reducing the time to production. In practice, this means we can move through more ideas faster with less friction. The implication is subtle but important: creative blocks are no longer just about a lack of ideas, but about a lack of modern systems to support new and modern ideas. With tools like Midjourney and Canva, creators can go from idea to structured design to usable asset in shorter periods. Of course, this questions the entire notion of being creative – artists might want a long and difficult artistic process (I know this, because I have been a practicing artist). What that actually says about us is another topic.

3 – Adapting Systems

Let’s move forward and examine how AI shapes a legacy organization – directly aligning with our third core area: adapting systems. Many companies operate within a “modernization gap,” where fragmented tools, disconnected data, and inconsistent workflows quietly limit their ability to evolve. Across marketing, sales, and customer experience, nearly an entire workday each week is lost to these inefficiencies. Applied strategically, AI becomes that structure we talked about – integrating platforms, standardizing data, and enabling information to move seamlessly across functions. Without that alignment, complexity compounds. With it, AI becomes a coordinating force, helping us activate our Competitive Edge in personal and professional settings.

My final words.

What emerges across all three areas is a pattern. Note: this will be constantly debated. AI does not create capability in isolation – it amplifies the structure that already exists; it makes our existence within the structure more significant. This helps explain the current divide: while roughly three-quarters of us already use AI, many people and organizations do not fully appreciate its implications. The constraint is not technological maturity, but understanding AI’s impact, paired with our empathetic value, so we can leave a strong impression behind and continue moving ahead. And in that, shape the structure we’re all learning to operate within.

Lessons from Art to Marketing

Creativity—an elusive concept for all.

Hard to identify and more challenging to explain.

Cambridge Dictionary describes it as:

imagination
vision
inventiveness
ingenuity

and

originality

Artists and marketers know.

Creativity is necessary. It may not have always been that way, but today, it matters immensely.

Whether you’re an artist painting on a canvas (Are your colours ‘original’? Do they spark emotions we are starting to understand?) or a marketer crafting campaigns (Is your work pivotal? Does it imbue change?)—creativity is the spark that turns ordinary moments into extraordinary breakthroughs.

It’s the difference between refining and redefining.

It is a flash of brilliance.

A slow-burning fire built on curiosity and persistence.

The truth is that creativity thrives at the intersection of structure and imagination.

It’s where the messy “what ifs” meet the grounded “how-tos.” And at this junction lies the power to unlock potential within teams, organizations, and leaders. Oh, and of course, within yourself.

So, creativity isn’t just about expression; it’s about connection—linking ideas, people, and strategies in ways that inspire growth and, more importantly, progress.

It’s about being part of a larger community where each participant has recognized their unique capabilities. We have taken an intellectual oath that includes emotion and experience to persist and sway. To churn ambition into reality, to light the fire beneath, spark bold ideas and fuel new mindsets.

Lean into these queries the next time you feel stuck or uninspired. Funnily enough, doubt can take you there.

The magic happens.

AI

Strategy

According to Jeremy Heimans and Henry Timms, authors of Understanding “New Power”, cooperation is “rewarding those who share their own ideas, spread those of others, or build on existing ideas to make them better.” This may be false. Cooperation is a tricky territory to navigate, especially within an environmental or technological domain. Still, a significant paradigm shift to consider – if we are moving forward, we must let go of ownership and authority to create a new wave of energy. This energy or humanistic data governance (AI) describes every interaction (digital and human) we make, and we should comply accordingly. As a writer, this can mean less writing. As a business owner, this could be thinking more dynamically. Energy is a force. It is in itself a superstructure.

New power models will always have limited influence and impact unless they are operating within a superstructure designed to play to their strengths. 

Governance

The idea of new power is not new. For centuries, humans have searched for ways to influence society, and it is no different today. One thing’s for sure, in environmental technology (purposeful applications that utilize digital environments to authenticate realities), a ‘superstructure’ is required to transform high-level ideas into physical products. We lose product direction without a proper process (energy) in place.

AI is fluid, though noninterchangeable and can digress. A physical product is a term best used to describe an outcome. In digital reality, a new power takes actionable items related to spatial and non-spatial information to influence a decision-making process, which leads to a result.

An example of this is a dream. So, on a larger scale (the dreamscape), new power (our human ability to dream) can affect human mentality (how we feel when we wake up), it can direct human conversation (self-banter), and ultimately, it can change the way we do things (feeling sad instead of happy). Product direction requires a dream, one that can be unlocked following precise steps, as if when you awoke from your dream you could remember every vibrant detail.

New power operates differently, like a current. It is made by many. It is open, participatory, and peer-driven. It uploads, and it distributes. Like water or electricity, it’s most forceful when it surges. The goal with new power is not to hoard it but to channel it.

Branding

I wouldn’t put it any differently. New power disables groupthink. The main distinction is that peers are not forced to agree with ideas, but rather can propose alternatives or contrasting ways to look at situations. Energy has a voice and the voice has a force. Individually, we can select bits and pieces then take what we choose to be the most vital outcome or result.

It is easy to hoard ideas, hence why we share ideas through various modes of communication (social media, ads, websites). At the moment where ideas surge (individual brands becoming a full brand suite), we can use the opportunity to address a group of topics so that a more specific and arguably necessary topic can arise (how do we take a humanistic behavioralist approach to products).

Digital branding takes us back to a commonplace, to a dream, in an abrupt fashion (it is constantly changing). The current social atmosphere lets us choose how our human mind responds to digital anomalies (do we create or does creation make us), and when we are rendered incapable of seeing (becoming incapable of interpreting data), we know that it is time to try a different strategy.

As new power models become integrated into the daily lives of people and the operating systems of communities and societies, a new set of values and beliefs is being forged. Power is not just flowing differently; people are feeling and thinking differently about it. 

Security

This is AI. Models, in essence, switching established paradigms into new sets of values and beliefs. It impacts people and precisely their emotions, behaviours and insights. We can sense the change; we just haven’t figured out how to contextualize it. Digital branding gives us the power of autonomy – it integrates into our daily lives, and it is the marketer’s responsibility to make the message loud and clear – we are not scared of machines, we are still in charge.

2-Way Communication

*Featured Image by Kasimir Severinovich Malevich | Black Cross (1923)

Hi everyone!

Here’s a rant I wrote when returning from a run a little while ago. Sometimes these ideas get stirred around during physical activity, perhaps a cocktail tumbled by adrenaline, cortisol and/or endorphins. Needless to say, it doesn’t take much energy for me to produce content, as I’ve said this time and time again. What takes energy – and time – is pairing down said content, so that it makes sense to my audience and can relate to my work as a whole. Have a read (some major thesis edits were made) and tell me this: how would we A/B test to further quantify/qualify this as an experiment?

 abstract – italic (R) : Visual Transparency & Communication, what makes AI right-brained, Insight / bold (L): platforms, IT, ME, WE, US, UP sales, Currency / underlined words have DUAL meaning (typically analog vs digital

2-way communication is what we’re dealing with today. It is no longer multiple channels (which I think is still the way most dominant marketers believe it to be), but 2 separate, individually performing platforms that interact with each other, either knowingly or not.

So, say there’s Platform A and Platform B. An example of this idea is when I sat down to use Markeko’s FB Blueprint Exam Study Guide YouTube video. As platform A, I intentionally participated in communication. Markeko was Platform B and he simply took my need and fulfilled it. Now, the way this works as a 2-way communication experience is what I take from him is fed back in his direction. He may not know this, or need it, however, the point of the ‘internet of things’, is this interaction in existence.

IT (internet of things) is a thing in the air, in our system, online that is being dispersed, received, re-dispersed and transmuted into other forms. These forms utilize adaptive learning or my exploration of AI as a right-brained system. IT will impact our economy and the poverty line, because we will be able to apply it to everything (Visual Transparency/Communication). WE can begin (as marketers, social media specialists, art/creative directors) to imbue all of our work with this element.

IT is not a new element. Marshall McLuhan’s explorations of ‘medium as the message’ were done in the late 50s. But our society has changed, and we have not figured out a way to apply his concept to our new technologies. IT has been explored by many (think movies, books), but we (apparently) have a small percentage of geniuses, intellectuals and educated individuals with high IQ+EQ+PQ (Global Comprehension), so we have an enormous remainder of people left out externally.

We are all internally capable, but the ‘alone ability’ to read or decipher content and context using right-brained AI in today’s digital circumstance deserves more recognition.

The amazing proposition (GC) is that, again, we as marketers and social media specialists have both the ability and avenue to distribute this new form of technology, as we are catering to clients, businesses large and small, that require some form of interpretation for their business needs. We are developing their projects, campaigns and overall the content of their identity with purposeful motivation. Therefore, behind the scenes, each project or campaign where we can apply the maximum effects of visuality (Visual Transparency/Communication) will cause massive changes in branding, marketing and sales applications. This holistic approach will impact the general stream of Insight (Insight Selling – right-brained) and paired with Solution Selling (left-brained), we are fully realizing AI and what it can do, for society, culture and most importantly …

Humankind.

This is my notion of XE (Currency). High-quality work that only a true and talented artist can create, combined with that person’s ability to make the most abstract concepts and ideas, will turn them into (Visual Transparency/Communication) money. I say money (interchangeable with Currency/Insight), because we know WHAT this is – customers, clients, target audiences are accustomed to a high-level customer experience.

According to my findings – this service is enjoyable. They want to deal with us. They want to see our results. The whole experience, for both the Seller & Buyer is productive.

And then, it just turns into a pay-it-forward type of system. Pay me, I will pay you back, well now, let’s pay them, and finally, why not just pay the whole existing world? I am scaling the most minute, Critical Mass to create a huge tidal wave effect. Again, this effect is imbued, may or may not be intentional, but the point is, it will snowball toward to right direction, UP.

This is the way I built it. More equality, happier business owners, more enticing and vibrant ads, campaigns that focus on world change and not simply on reach vs influence.

I would love to present this idea to the CEO of Microsoft and see what he would have to say. The most brilliant thing I have experienced, just in the last week, is while studying for the FB Blueprint exam (September 2019), I’ve begun to learn these new terms, almost 100% analytical and in turn I am funneling my right-brained ideas into beautiful left-sided friction. Highly needed as my conscience purports many individuals disagree with anything termed right-brained. So then, let’s get measuring!

The below is more abstract, but perhaps you want to read it –

The strength of application lies in between ability (to develop sound) and our ability to apply (these concepts) to solutions (sight) that would impact our interaction with customers. I often develop concepts in sets of 2. I believe DUALITY is a great way to present information (internally and externally), because it provides CHOICE (to see and/or hear). And everyone likes to choose what they think is BEST for them. This is where my Seller & Buyer persona study began – choosing a WAY to communicate, to tell a story, to sell/buy a TALENT, that’s IT/ME/WE/US/UP!

And so, can you see how we hear things together?