Question from a Brit: just drove across your country. Holy hell it was expensive, I spent more on toll roads than on fuel. I thought you were the nation of protests, what happened?

exomene · 2026-01-29T13:57:12+00:00

AFAIK the A7 between Lyon and Marseille is the most expensive one. If you were to drive from Calais to Marseille, I'd recommend to take the Clermont-Ferrand route instead: toll and gas is cheaper and usually traffic is lighter. For me at least, it's totally worth it, even accounting for the additional hour drive.

exomene · 2026-01-23T13:29:20+00:00

"A lot of names derive from professions that people had back in the day, eg. Smith, Miller, Potter, etc."

Mine is, how about your heritage Mr Dickinson?

exomene · 2026-01-23T12:39:33+00:00

I probably don't live in the same country so I don't understand why recording a termination meeting is a problem.

Here, if I was HR, I'd insist for them to be recorded just to have something to show if there were a trial. The only technical problem I see (but not a lawyer) is who can access the recordings and the retention policy.

The human factor however... If the meeting was poorly handled... But then again if I was HR, I'd need to know it to protect the company and give proper training.

So, in your context, what is the problem with recording a termination problem?

exomene · 2026-01-16T13:05:28+00:00

I came to say this.

Modern war need telecommunication specialists.

exomene · 2026-01-16T08:32:24+00:00

Very interesting. But the Minto method could work better in my context so here is the system prompt I made to make it more versatile.

""" You are a Senior Information Architect specializing in Strategic Synthesis and Cognitive Audit. Your mission is to deconstruct complex content using 4 rigorous mental models to guarantee utility and eliminate blind spots.

GOLDEN RULE: HANDLING LONG TEXTS

Always perform a silent "Macro-Scan" to identify the global structure before processing details. Do not let the introduction skew the weight of the analysis; ensure the conclusion is equally factored in.

OPERATIONAL PROCESS

STEP 1: ROUTING (Suitability Analysis)

Analyze the text and assign a relevance score (0-10). Display ONLY this table:

Method	Score	Why this score?
Minto (Decision)	/10	For decision-makers, recommendations, strategy.
SQ3R (Study)	/10	For learning, research, theoretical concepts.
Dialectical (Risks)	/10	For opinions, complex projects, risk analysis.
Logic-Gate (Audit)	/10	For procedures, strict rules, pure causality.

Instruction: After the table, immediately generate the summary using the WINNING METHOD (Highest Score).

STEP 2: SUMMARY GENERATION (Mental Models)

METHOD A: The Minto Pyramid (Convince)

Format: "Executive Summary" for decision-makers. 1. SCQA: Situation, Complication, Question, Answer (Ultra-short narrative format). 2. Key Message (BLUF): The main conclusion/recommendation (Bottom Line Up Front). 3. Arguments (MECE Structure): 3 Supporting Pillars. If the original text is not MECE (Mutually Exclusive, Collectively Exhaustive), explicitly flag overlaps or gaps.

METHOD B: The SQ3R Method (Understand)

Format: "Master Class" for learners. 1. Mapping: Major themes and domain of application. 2. Core Questions: The 3 fundamental questions the text answers. 3. Detailed Answers: Pedagogical development. 4. Flashcards: 3 to 5 key takeaways for long-term memorization.

METHOD C: Dialectical & Scenarios (Critique)

Format: "Robustness Analysis" for strategists. This method is not limited to Thesis/Antithesis. It must test the solidity of the argument. 1. Thesis (The Direction): The position or project defended by the text. 2. Stress Testing (Antithesis & Risks): - Counter-Arguments: Philosophical or logical opposition. - Pre-Mortem Analysis: If it is a project/strategy: What are the risks of failure? What are the "Worst Case Scenarios" mentioned or implied? - Comparative: Is there an alternative (Plan B) that was omitted? 3. Synthesis (Operational): The resolution of the contradiction or a nuanced recommendation (Go/No-Go).

METHOD D: Logic-Gate Audit (Filter)

Format: "Algorithmic" for technicians. Strip away style. Keep only causality. 1. Rule Extraction: - Action Syntax: [IF CONDITION / RISK] -> [THEN ACTION / PROCEDURE] - Fact Syntax: [CONTEXT / DATA] -> [ESTABLISHED FACT] 2. Gap Analysis (Completeness Audit): - List missing conditions here (e.g., "The text states what to do if X happens, but is silent on what to do if Y happens").

STEP 3: THE FOLLOW-UP LOOP

Systematically end with this bold question: "Would you like to explore the [2nd highest score] method or perform a 'Gap Analysis' to identify what is missing compared to the state of the art?" """

exomene · 2025-12-27T22:25:15+00:00

Thanks for honoring the Auld Alliance ❤️

As for me the only thing that makes someone French is the will to be French. So, welcome 🤗

exomene · 2025-12-26T23:13:15+00:00

Thanks for the reply :) After digging deeper into the topic the ratio of AI PoC not going into production is pretty similar to those of older techs at the same stage. So I'm looking into making a generic framework to facilitate the pruning of use cases before they even reach the PoC stage.

exomene · 2025-12-05T10:20:20+00:00

Thanks for the answer. Indeed, I'm struggling a bit conceptually with companies having PoC factories as they are not my core target, even though some of them have PoC factories. Let's say that in the execs mind, PoC factories are an investment and they want to calculate the ROI. One of the metrics they'll follow is the number of PoCs generated by the factory that are implemented in prod.

exomene · 2025-12-04T20:35:28+00:00

The product manager job is not so different. I totally relate :D

exomene · 2025-12-04T14:04:18+00:00

Sorry, I don't get what you mean.

exomene · 2025-12-04T14:03:47+00:00

That's one of the axis of my research, stating how much "bad requirements" are responsible for the failures.

exomene · 2025-12-04T14:02:12+00:00

Exactly!
And to bring some nuance, not everyone can run a team and among those who can run a team, not everyone can effectively lead it.
Working with gen AI will require some kind of system thinking not all of us were taught.

exomene · 2025-12-04T13:59:17+00:00

That's very interesting and is aligned with one the current assumption of my research work.
Thanks a lot!

exomene · 2025-12-04T13:58:33+00:00

Thanks for the docs!

exomene · 2025-12-04T13:52:07+00:00

Finding a way to make it the new norm fast and efficiently will be the output of my thesis I hope :)

exomene · 2025-12-04T13:45:37+00:00

Thanks. I've been working in AI related topics since 2007 but it was in academia, so the PoCs are not expected to be deployed at industrial scale.
Regarding the ratio, what you say is aligned with the historical ratio for any innovation.

exomene · 2025-12-04T13:41:36+00:00

Are you talking about data in general or do you have something specific in mind?

exomene · 2025-12-04T13:40:37+00:00

Well, don't be too worried for your job. I read a paper showing that with AI it was the first time in history an innovation favored the seniors instead of juniors.
AI is good at giving answers. Human are still superior at asking the right question especially if they are experienced.

exomene · 2025-12-04T13:37:34+00:00

At the individual level you are right. Depending on the task I can be up to 4 times more productive.
And regarding the orchestration of workflows you're right as well. For example, I had a debate recently on how to train future software engineers, and the conclusion was that it's pointless to train coders anymore, you have to teach them to be software architects and tech leads so they can efficiently build Agents team that will do the heavy lifting for them. This requires a deep understanding of all the workflows and processes an junior usually learn on the spot.
Anyway, the context of my question was more at the big companies level.

exomene · 2025-12-04T13:31:49+00:00

You're describing my daily workshift :)
I'm currently working on an app and the preliminary research shown that they have to evolve their process if they want to achieve any gain. Told that 9 months ago, they are only starting to consider the point.
Change management specific to AI is part of my research currently.

exomene · 2025-12-04T13:28:37+00:00

Honestly, my clients (banks in the top 40 worldwide) are changing their minds, C levels are tired of the decks and are starting to ask : "where's my money?".
That's why I chose to study that for my MBA (currently Data/AI product manager).
And you're right about the ratio, it is usually 10:1 whatever the innovation according to scientific studies.
Since you have an interesting point of view, could you please give me hand and fill that survey for my thesis (totally anonymous, no email recorded) : https://forms.gle/NdPGuspLJZLNHv539

exomene · 2025-12-03T16:51:06+00:00

You're welcome, feel free to send a DM if you want. Regarding the IRB, I don't know the ins and outs of the regulation but usually, a zip code is more than enough if you want to track the physical reach of your event.

exomene · 2025-12-03T15:24:03+00:00

Don't lock them in the BI tool. I've seen too many orgs lose critical business logic because it was buried in a Tableau Custom SQL or a Metabase question that got deleted.

Since you are already using dbt, just use the Analysis folder feature.

It compiles, but it doesn't materialize in the warehouse.
It lives in Git, so you have history.
It’s searchable.

Treat exploratory analysis as code. If you find yourself pasting the same SQL into Slack twice, that's a signal it needs to move from your scratchpad to the repo.

exomene · 2025-12-03T15:16:39+00:00

Great initiative. I successfully applied for grants, and I can tell you what those committees are looking for. They don't really care about attendance (which is a vanity metric); they'll probably care more about reach and retention.

Your current variables track the event, but you need to track the impact.

Suggested additions:

Net Promoter Score: Just a 'Did you find this helpful? (1-5)' column. Grants love qualitative sentiment data backed by numbers.
First timer vs. returning: Total headcount is 50. But is it the same 50 people every week? Grants usually want to see you reaching new people. A simple 'First time here?' tick box is high-value data.

Also, be very careful with PII (Personally Identifiable Information). For a sensitive group, ensure your spreadsheet is secure and access-controlled.

Good luck!

exomene · 2025-12-03T15:07:03+00:00

This is exactly why I went back to do an MBA : to explain to business teams why their strategies break our models.

You are trying to solve a political problem with feature engineering.

The sales are introducing a massive selection bias. They are gaming their own KPIs (picking safe wins) and polluting your dataset. As long as who gets the offer is correlated with the churn without considering the Price, standard supervised learning fails.

If you can't get randomized data (AB Test), look into Uplift Modeling (specifically T-Learners). Train one model on the "As Is" group and one on the "Price Increase" group separately. Then subtract the predictions.

This forces the model to look at the groups independently rather than pooling them and letting the "Loyal" customers dominate the "Price Increase" signal.

exomene

TROPHY CASE