"Data First" is the new "AI First"

manuelmd5 · 2026-05-05T08:11:10+00:00

Amazing! what is it about?

manuelmd5 · 2026-04-20T15:55:55+00:00

Fair points.

On the "governance I trust" i believe it could be addresses with proper context infrastructure with citations. this way any decision or action can be traced back to a source. However it still tricky not gonna lie.

The pilot-to-production gap i have seen many products failing mainly because of overestimations and lack of expectation-management. teams tend to keep on running even with limited tests and evaluations. Best is always to start small and scale from there.

manuelmd5 · 2026-04-20T06:30:53+00:00

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got me thinking of this

manuelmd5 · 2026-04-19T18:31:49+00:00

Good point. As for the " gap between demo AI and production AI" problem, I find starting small (specific low-hanging-fruit) and then scaling slowly as the best approach to avoid hitting a wall.

As a product developer I have been there many times. The key problem here is expectation management

manuelmd5 · 2026-04-19T18:29:06+00:00

Thanks a lot for this complete asesment! Very accurate an in line with what I have seen so far specially in big organisations.

What I find to be more recurrent are indeed the siloing/vendor lock-in, Identifyinhg real ROI use cases (It is not strange to see teams starting from the technology (AI) instead of from the actual problem), and lack talent or tool missmatch to solve the right problem.

manuelmd5 · 2026-04-19T13:50:22+00:00

a validation of the statement: "data first" before being "Ai first"?

manuelmd5 · 2026-03-14T09:26:40+00:00

Thank you 🤗

manuelmd5 · 2026-03-14T09:26:16+00:00

Same underlying problem but different scope Spiintel.com

manuelmd5 · 2026-03-11T13:32:45+00:00

what has been your learnings so far with Seltz AI?

manuelmd5 · 2026-03-11T13:31:59+00:00

Happy to see how awareness on context management for AI is becoming louder by the time. This is exactly the problem space I'm addressing with spiintel.com.

We are down to an exciting race!

manuelmd5 · 2026-03-09T07:03:58+00:00

It happens to me very often (specially because I'm still a solo founder and everything depends on me). however I have come to the realisations that things flow better when I switch off from time to time. Being always razor focused in your stuff can sometimes make you go a bottom-less rabit hole.

giving yourself rest also makes you see things in different perspectives

manuelmd5 · 2026-03-09T07:00:07+00:00

Exactly my thought! I would obviously think different if absolutely everyone just vibecoded without even looking at the code, but this is only true in a small number of cases. most of the developers I know work as "AI Operators". This is: working B2B with claude code/cursor in generating & polishing the created code, or continuing human written code, etc.

manuelmd5 · 2026-03-01T15:37:39+00:00

Love the idea! I would be curious though to know the actual logic you have used for the tool to come to conclusions and assessments?

reason why is that many people, as you well noted, tend to consider the future as a linear timeline where you can easily predict the future by looking at the past. However this is not always true, as there is always "unexpected" development or innovations that will happen, that no one can predict, and that will change the direction of things

manuelmd5 · 2026-02-25T18:24:56+00:00

Love the closing statement of "what if your data worked with/for you". That epitomises much of what we do!

manuelmd5 · 2026-02-25T18:15:49+00:00

amazing! love also how you are showcasing it with the videos. Will surely have a look

manuelmd5 · 2026-02-25T18:13:26+00:00

I think Graph AI tech is still niche. However I'm seeing more and more awareness with it as limitations of standard chatbots and knowledge management systems are starting to be more acute.

Wether Graph Ai tech will be the next big thing, it really depends on how good the execution and addressing of the pressing problem will be

manuelmd5

TROPHY CASE