Category: Artificial Intelligence

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.

Saccharine

Learning Your ABCs – A Quick Guide to Effective Communication Practices

Effective communication is simple, straightforward, and accurate. 

a

b

c

It follows a linear path and is easy to digest. 

a a

b b

c c

Still, in its best forms, it can empower and inspire us to uncover new ways to respond to business demands and challenges. This is change!

a b c 

For example, by understanding what type of communication drives our customers to choose us over the competition and then using that data to promote growth, we can harness communication to cultivate opportunity.

a b c 

a b c 

Here are some things to consider:

  • Be self-aware and understand the need to adapt your message to your audience
  • Communicate what you are doing, why you are doing it and how you are going to get there
  • Build a system or process, then be accountable and track your progress
  • Focus on transparency, empathy and consistency to elevate trust 
  • Create opportunities for learning and development
  • Practice active listening to understand and feel the situation
  • Share your milestones, challenges, concerns and victories 

How do you develop an effective communication strategy? What are some important values that support your communicative work?

It’s Time!

(A poem about AI or conversely celebrating My New Job)

As cryptic as it may be, the time has arrived.

“Surprise!” it squeals with utter delight.

After all that hard work, you’ve finally made it here.

I’m ready. She’s ready. She’s finally prepared!

“Where are you going?” it asks quizzically.

Well, I am headed toward reality.

It’s bursting at the seam from being grappled for so long.

I’ve been waiting, hankering, perfecting my song.

“Do you know where you’re going?” it asks once again.

Well, I certainly have an idea. The spot is a delight. Filled with smiling faces, happy circumstances and scenarios of hard work.

“Well, welcome home then, I suppose!” it pats my back congratulatorily.

Why, thank you, my friend! Now, let’s pencil this in!

A little explanation:

On Monday, March 14th, 2022, I had a wicked phone interview that started with a compliment about the same content you’ve been passionately reading here on ChonaBLOX. Swiftly, I was scheduled super bright and early the next day, Tuesday, March 15th, 2022, to meet the CEO and Operations Manager of Clearbridge Business Solutions. I walked away from that interview, thinking I had done horribly. And as I arrived at work, I furiously texted my husband, saying, “Man, I’m worried. I don’t think I did that well.” But it turns out I did because I received a phone call within minutes saying they wanted to offer me the job! So, it’s done. I’m starting a new journey with my new company, Clearbridge. So excited! This is going to be a lifetime experience. Can’t wait to get started!

What’s new with you guys? Drop me a line anytime!

AI 2

This is a follow-up to AI (Share of Voice).

Humanistic data governance is my description of AI or:

The process of managing the availability, usability, integrity and security of data in global human societies, based on internal data standards (emotions) and policies (law) that also control data usage (science).

Effective data governance ensures that data is consistent and trustworthy and doesn’t get misused.

This is crucial. My observations from the past ten years show that misuse occurs when governing bodies are unstable, in other words, not properly equipped (mentally, socially, physically, spiritually) to manage said availability, usability, integrity, and security of data.

So, what then is data in my interpretation of AI?

It is energy or every interaction (digital and human) we make.

This energy exists on a conceptual framework or platform. In essence, it can be continually transmuted (actions and results) without much intention required from either the digital or human end.

Much like a geographic information system (GIS), energy provides us with the ability to capture and analyze spatial and non-spatial data.

Part of this data includes our insights, behaviours, and emotions. We capture energy through action and produce a result that causes a chain reaction in human evolution and thought.

There are many points for me to cover here, which demand much more time and consideration. For now, I will try to get my words and ideas down, then perhaps we can come back to it in a couple of months and reassess.

Noninterchangeable: not able to substitute with another. 

For some reason, AI is not readily accessible. It is readily available, but coming across an entity that fully understands its definition within a humanistic context is variable, if not completely unchartered and arbitrary. Still, you can, or perhaps I should mention myself in this situation, look at a person and consider them, as if reading their humanistic data governance level. Again, we come back to the same problem over and over again.

Oversimplification. Redundancy. Incorrect assessments of human error.

Why does it matter? Perhaps, I am too futuristic here? Do I even know the answer? I could have known it in a previous life, let me try to unearth my potential here.

In AI, I spoke about a physical product as a term best used to describe an outcome. I suppose this is the differentiator. We have yet to determine what the physical product will be. We are continually creating new products that utilize AI; however, we have not symphonized the ultimate result.

Oddly enough, the appearance of COVID-19 altered our progression, mostly due to isolation. Without physical interaction, we lose our common ground. We can choose to see this as intentional or casual. Again, I wrote:

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.

If the digital reality we create is not appropriate, lacking power or substance for the sake of laziness and against the challenges/problems we are facing like – damage prevention, protection of the environment, safety regulations, reporting, food shortage, food security, and traceability, then the laws that possibly govern us from a higher resource may have put a stop to it.

That’s the problem. We are starting from square one. 

Product direction requires a dream that can be unlocked following precise steps as if when you awoke from your goal, you could remember every vibrant detail.

As if we were previously positioned in individual dreams, with rulers and usurpers systematically working together, ‘after’ coronavirus, we are retracing our steps, back to the models we have built, starting the race yet again with our shoelaces untied.

The funny thing about being in digital marketing is that this race is entirely peer-driven. The humour is not even funny. We have come to a full-stop and truth be told, there is cooperation, albeit, indifferent. I’m just referring back to new power. As Dave Gerhardt, CEO of Privy mentions in almost all of his LinkedIn posts – how we communicate is vital, and we can’t keep talking about things so that people don’t understand what they’re reading. Well, we could, but what would be the point in that?

And I haven’t even delved into the idea of machines! This is TBC, of course…

For next time,

A conceptual framework is an analytical tool with several variations and contexts. It can be applied in different categories of work where an overall picture is needed. It is used to make conceptual distinctions and organize ideas. – Wikipedia

 

 

 

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.

Realm 3

Manipura Text

Manipura

This realm is Artha, meaning all those who enter come to find their purest sense, goal, purpose or essence depending on the context of their health and advantage. There are many activities and resources here to help enable a proprietary state. You will find your closest friends, pets and an environment that promotes correct strength and well-being. In this realm, religion does not exist. It was determined in 2020 to be a complacent form of currency and it has been replaced with essential forms of thought and listening.

What are you going to offer in Manipura?

Realm 2

Chon Text

Chon

This realm is Free, meaning all those who enter come into an agreement that their belongings don’t exist and they can peruse endless goods and products from the past, future and present. Money is not used to pay, in exchange if one has a rare good that is no longer available to society, this can be used and the act of acquiring it is highly coveted, if not considered an extreme sport. In this realm, the bitcoin does not exist. It was determined in 2020 to be a false form of currency contributing toward technological diseases like Common Place.

What are you going to buy in Chon?

Realm 1

Life Space Text

Life Space

This realm is Being, meaning all those who enter lose their bodily attachments and have the option to become either air or ether. In these states, one is able to increase intellectual capacity and reveal relationships with life forms that have always been present, but never acknowledged. In this realm, Western medicine does not exist. It was determined in 2020 to be an ancient technology and has been replaced with Space and Heaven medicine instead.

What are you going to invent in Life Space?