Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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7 days tho? Really? I did all that in about 2 hours the first time I tried it.
What about the layers before llm?
Nice. This helps me understand AI concepts more easily by correlating them with human anatomy.
This is fantastic! The only piece I would resist is that the MCP at the bottom lines up with reality. So far my experience of MCP has been that it is slow and unpredictable. 🤷♂️ Maybe I’m just doing it wrong. 🤔
I would not be surprised that there is Strong oversight on the process that AI agents implement. While AI agents can handle data, humans are needed to handle situations. Leaving everything to AI agents decisions isn't wise.
Building your own system instead of fighting the native tool is just smarter.
I have learned that what people remember most isn’t the plan you execute, it’s how you make them feel while executing it. Emotional intelligence has been the multiplier in my leadership experience.
Good point , Justin. EQ comes out when things do not go your way. That is where people either build trust or lose it without realizing.
Agents sitting in between these layers are a misconception. Especially when visual is hierarchically sorted.
Absolutely true - technical skills may get you hired, but emotional intelligence is what helps people lead, collaborate, and grow long-term. EQ is a real career differentiator.
Emotional intelligence is essential, as long as it works for you, not against you. High EQ means you read the room, pick up on dynamics others miss, and navigate relationships with precision. But it can become a liability when it turns inward: overthinking what you said in a meeting, dissecting your boss's tone, noticing they're in a bad mood and deciding not to pitch the idea you came prepared to share. That's where EQ starts working against the people. The difference isn't whether you have it - it's whether you've learned to use it as a tool rather than let it quietly hold you back.
Rujuta Singh That is why Retailogy AI, Integrated Marketing Solutions & Research started unfragementing AI Powered marketing efforts into ecosystems for example Retailogy AI Sales Funnel, Retailogy AI Commerce Suite & Retailogy Horizons AI E-commerce suite....next is Retailogy AI Triangular Marketing Ecosystem! *ponders at the nomenclature* or Retailogy AI Marketing Triangle Ecosystem "RAITME Vs RAIMTE".
This is interesting, but not profound. The only thing that has changed is the scale at which it matters. Today, one person can match the pace of a traditional small team, but everyone has always had the ability to throw money at developers to have them create something. The cost of development has never been the only differentiating factor between competitors.
Theresa Graf
Gut erklärt!
The biggest miss in a lot of ai projects is treating these like buzzwords instead of layers. Once you split them, the stack makes sense.
AsDigiaxo I didn’t quite understand this
Insightful 💡, sharing with our network 🛜 Luís Rodrigues
Solid analogy. Makes these concepts way easier to explain to non technical folks.
Approvals in seconds make things faster and smooth execution.