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Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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I love schedule tasks specially to navigate the session limits, I can distribute my workload throughout the day, and maximize utilization of the session limits
Most companies focus only on the “brain” layer, but production AI systems usually fail on context, connectivity or orchestration from time to time.
The body-anatomy framing makes this digestible for execs who don't care about acronyms. Worth adding: the bottleneck most teams hit isn't picking between LLMs, RAG, or agents but figuring out which workflows actually deserve to be agentic in the first place. Mapping that decision is where the real ROI conversation starts. How are you seeing teams approach that prioritization step?
If we have failed to make ethics and humanism an important part of Capitalism, which now rules half the world, you have to wonder how and why would those ideals find favor among Capitalist. If we expect to live righteously, we will have to redistribute the power of money to those more inclined to humanism and Christian ideals. Otherwise the decline in Western Civilization that began accelerating after WWII, will on increase in velocity. And the inevitable 'crash and burn' will only grow in scale as an expected catastrophe.
yeah the “AI layers” metaphor lands. i’ve learned the hard way that if you skip the “nervous system” part (where the agent can actually read the right docs + remember decisions), the “arms” just flail. it’ll do work, but you don’t trust any of it, so you end up re-checking everything manually and calling it automation anyway
Nadeem Zaman نديم زمان It’s fascinating to see such transitions on a national level. I am excited to work and see what other use cases would be solved using Agentic AI.
lol
Real thing would be human brain connected to AI data centres for rent to do computing with lowest possible energy use.
Your 8 hr shift would be lying down, connected to neural-ink and disconnected from conscious body for that time while serverless compute executes workloads on it.
Perfect sequel to that Apple TV series about mind memory lock by office!? 😅
I love giving each day a goal bc it gets super overwhelming and constantly feeling behind
I do this for a living and the thing that unlocks non-technical people isn't the diagram itself, it's permission. Once someone knows RAG means "it can read your files first," the fear drops and the real questions start. The terms sound gatekept until somebody translates them and that translation is a big part of the job.
The layers frame is useful, but a lot of teams I've talked to have skipped the nervous system entirely, MCP is still the part nobody wants to budget for. The gap between "we have agents" and "our agents do anything coherent" lives right there.
In real, EQ drives influence. When leaders understand themselves and respect others, performance improves. That skill impacts every level of success, Justin Wright.
A lot of holes to making this work the way you’re promoting.
Great breakdown Luís. Intelligence means nothing if the nervous system is an afterthought - this is exactly where production deployments quietly break.
Strong emotional intelligence often shows up in how you respond to people, not just how you perform
Ruben Hassid most people never get meaningful results from AI because they keep treating it like a search box instead of building an actual workflow around it, the real shift happens when the model starts understanding your context, your files, your patterns and your way of working, that’s when it stops feeling like a tool and starts feeling like infrastructure
Excelente checklist que demonstra como integrar rapidamente o Claude ao fluxo de trabalho diário. Vale considerar a automação de relatórios periódicos e a revisão de prompts para refinar ainda mais a personalização da IA.
And professors can be authors without contributing to the work.
Most people don’t need more Claude features, they need a simple 7-day system that turns it from a chatbot into a consistent assistant for real work.
Self regulating is a disaster waiting to happen. The FAA has been teaching us that. That's also why QA departments report directly to the CEO of better organized companies as compared with Manufacturing. The inherent conflict of that will ultimately yield "good enough" which isn't.
Knowing yourself well is honestly the foundation everything else on this list is built on, Justin