u/L4TER_0N

I’m building a personal AI assistant as a learning/project thing. It has persistent memory, tasks, reminders, goals, events, and a classifier that turns normal messages into structured JSON before anything gets written to the database.

I recently switched the classifier to the Gemini API (currently Gemini 3.6 Flash). It actually performs pretty well so far — for example, it correctly extracted a goal, reminder, and event from one message and handled relative dates correctly.

The problem is reliability. During testing I’ve already hit multiple 503 UNAVAILABLE / high demand errors. I added exponential retry/backoff (2s → 4s → 8s), and on one test it failed twice before succeeding on the third attempt.

I’m still early enough in development that changing providers wouldn’t be a disaster.

For people who have built similar assistants/agents: would you stay with Gemini and design around temporary outages, or switch to another provider before the project gets more dependent on it?

I care more about structured-output reliability, availability, cost/free-tier limits, privacy, and API stability than having the absolute smartest model.

Also curious what you’d use instead and why — OpenAI, Anthropic, local models, or a multi-provider/fallback setup?

I've been doing detailed pre-match football analysis using:

• Recent form
• Home/away records
• Goals and underlying stats
• League position
• Injuries/suspensions
• Tactical matchup
• Motivation
• Market/odds movement

But even with all this, I usually end up around 6.5–7.5/10 confidence.

I'm starting to think that's normal. My question is:

What should actually justify an 8+/10 confidence rating?

Should I use a weighted model and then subtract points for contradictions and uncertainty? Or does that just create an arbitrary number that looks analytical?

Also, should I separate:

1. Probability — e.g. 65% chance of winning
2. Confidence in the analysis
3. Betting value — probability vs implied odds

And how would you calibrate the confidence score over time? Brier score, log loss, calibration curves, CLV?

I'm not trying to artificially reach 8+. I want 8/10 to actually mean something statistically.

What would make you personally comfortable calling a football prediction 8+/10?

I've been doing detailed pre-match football analysis using:

• Recent form
• Home/away records
• Goals and underlying stats
• League position
• Injuries/suspensions
• Tactical matchup
• Motivation
• Market/odds movement

But even with all this, I usually end up around 6.5–7.5/10 confidence.

I'm starting to think that's normal. My question is:

What should actually justify an 8+/10 confidence rating?

Should I use a weighted model and then subtract points for contradictions and uncertainty? Or does that just create an arbitrary number that looks analytical?

Also, should I separate:

1. Probability — e.g. 65% chance of winning
2. Confidence in the analysis
3. Betting value — probability vs implied odds

And how would you calibrate the confidence score over time? Brier score, log loss, calibration curves, CLV?

I'm not trying to artificially reach 8+. I want 8/10 to actually mean something statistically.

What would make you personally comfortable calling a football prediction 8+/10?

I'm a first-year student in Sport Analysis & Technology in Morocco, with a strong interest in football analysis.

I have around 3 years ahead of me before graduation, and my long-term goal is to be able to continue my studies or find work/internships in Europe.

I don't want to wait until graduation to start building my profile. I want to use my university years to develop real skills and, more importantly, get actual experience.

I currently have a 30-day period before university starts, and I'm willing to travel within Morocco if there's a worthwhile opportunity.

For people already working/studying in sport or football analysis:

What skills would you prioritize if you were starting again?

What kind of projects actually helped you get noticed?

How did you get your first real experience?

Is it worth approaching academies/clubs directly, even as a beginner?

What would make a student from Morocco more competitive when applying to European programs/internships?

What mistakes should I avoid during my first few years?

I'm particularly interested in football analytics, data analysis, scouting and performance analysis.

I'm not looking for a shortcut — I want to know what I should realistically start doing now.

Any advice from people who have actually gone through this would be greatly appreciated.

I'm a first-year student in Sport Analysis & Technology in Morocco, with a strong interest in football analysis.

I have around 2 years ahead of me before graduation, and my long-term goal is to be able to continue my studies or find work/internships in Europe.

I don't want to wait until graduation to start building my profile. I want to use my university years to develop real skills and, more importantly, get actual experience.

I currently have a 30-day period before university starts, and I'm willing to travel within Morocco if there's a worthwhile opportunity.

For people already working/studying in sport or football analysis:

What skills would you prioritize if you were starting again?

What kind of projects actually helped you get noticed?

How did you get your first real experience?

Is it worth approaching academies/clubs directly, even as a beginner?

What would make a student from Morocco more competitive when applying to European programs/internships?

What mistakes should I avoid during my first few years?

I'm particularly interested in football analytics, data analysis, scouting and performance analysis.

I'm not looking for a shortcut — I want to know what I should realistically start doing now.

Any advice from people who have actually gone through this would be greatly appreciated.

Old flagship or new mid range, I am 19 ,parents still interfer in such choice giving the need for there extra help in affording, I had a choice between a A57 and an old s23 ultra but the final word was from my parents taking the a57 , Arguments to convince please for my next buy

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When I accepted a summer job at a restaurant in Agadir Marina, I expected to learn about customer service, teamwork, and the fast pace of restaurant life. I never imagined that, beyond serving meals and clearing tables, I would witness a side of society that challenged many of my assumptions. Every evening, the restaurant became more than a place to eat—it became a stage where money, attraction, loneliness, and opportunity intertwined in ways I had never seen before.

One of the first patterns I noticed involved young women who seemed less interested in the meal itself than in the people paying for it. They would sit with men they had only recently met, laugh, flirt, and create the impression of genuine interest. Dinner would be shared, drinks would be ordered, and the atmosphere would feel intimate. Yet, in many cases, once the evening had served its purpose, they would leave, and the connection appeared to end as quickly as it had begun.

On other nights, the dynamic became even more obvious. Groups of women would approach groups of men, striking up conversations with confidence and charm. Within minutes they were sitting together, sharing food and drinks as if they had known each other for years. From my position as a waiter, I saw these interactions repeat often enough that they no longer felt like coincidences. Some evenings ended with everyone leaving together, while other times the women departed shortly after the meal, having achieved what they seemed to come for.

The moment that stayed with me the most happened during a delivery to a nearby hotel. I carried the order to a room and briefly saw a Moroccan woman inside with a foreign tourist who was only partially dressed. I had no knowledge of who they were or the nature of their relationship, and I could not know what had brought them together. Yet the scene contrasted sharply with the ordinary routine of carrying food from a restaurant kitchen to a guest's room. It reminded me that the hospitality industry often places workers in close proximity to moments of people's private lives that they never expected to witness.

These experiences did not make me feel excited or entertained. Instead, they made me more aware of the complexity of human relationships. Working in the restaurant exposed me to situations where attraction, financial means, companionship, and personal choices intersected. As an eighteen-year-old experiencing his first job, I realized that the world is far more complicated than I had imagined from the outside.

Looking back, I do not see these moments as defining all women, all tourists, or all relationships. They were simply observations from one workplace over a limited period of time. However, they changed the way I view public appearances and first impressions. Behind an ordinary dinner table, there can be stories, motives, and circumstances that an outsider can never fully understand.

Hello moderators,

This post is a personal account of what I observed while working a summer job as a waiter in Agadir Marina. It is not intended to shame, stereotype, or attack any group of people. I'm simply sharing my firsthand experiences and how they affected my perspective. I've tried to present the events respectfully and acknowledge that my observations are limited to what I personally witnessed. I hope you'll consider approving it as a genuine personal reflection.

Thank you for your time.