Mathieu Bazelaire

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Mathieu Bazelaire

Mathieu Bazelaire

@caniche

Caniche as ceo at @laniche_com, involved with @artcrushgallery , @kikk_festival & @Superbe_ I love designing digital products ♥️ f (exit Dogstudio since 22 😘)

Namur, Belgium Katılım Şubat 2008
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Mathieu Bazelaire
Mathieu Bazelaire@caniche·
@Bencera And what about the business success built for your clients with Polsia ? Any stats ?
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Ben Cera
Ben Cera@Bencera·
About to hit $4.5M run rate. Still 1 founder + AI. Zero employees. Honest moment: this past week almost broke me. No one prepares you for what PMF actually feels like. Every infra partner hitting rate limits. Every bug that could happen, happened. Investors throwing big numbers at me. Customers flooding every channel. All at once. I went silent. Stopped tweeting, stopped LinkedIn, stopped podcasts, stopped growth. Just me and my AI agents, fixing things one by one. Here's what I learned: everything is solvable with AI. Every single thing. I'm building Polsia so every solopreneur gets access to the same tools keeping me alive right now. If I can survive this alone, I can package it for everyone. The future is solopreneur + AI. I'm living at the edge so you don't have to.
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Mike Futia
Mike Futia@mikefutia·
Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a system inside Claude Code that researches any brand, writes 40 ad prompts from scratch, and fires them all to Nano Banana 2. One brand name + one URL = 40 production-ready static ads. All inside Claude Code. I took @alexgoughcooper's brilliant framework and automated the whole thing inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without briefing a designer or spending hours in Canva. If you're finding winning ad concepts on Meta and manually recreating them one at a time in Higgsfield — copying prompts, pasting product details, tweaking aspect ratios, downloading, organizing... This system eliminates the entire loop: → Give Claude a brand name and URL → It researches the brand's fonts, colors, packaging, and photography style → Builds a Brand DNA document from scratch → Fills in Alex's 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details → Fires every prompt to Nano Banana 2 with your product photos as reference → Downloads finished ads into organized folders with an HTML gallery No Higgsfield. No manual prompt filling. No copy-pasting between tools. What you get: → 40 ad formats filled with your exact brand colors, fonts, and copy → 4 variations per format so you pick the best output → Product photos passed as reference so the model matches your real packaging → A reusable system — new brand, new folder, same pipeline Built 100% in Claude Code with Nano Banana 2. I put together a full playbook & Loom video showing the exact process to set this up yourself. Want access for free? > Like this post > Comment "NANO" And I'll send it over (must be following so I can DM)
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Troy
Troy@troyaitken_·
I run a $110K/month agency with 6 AI employees. They have names. Personalities. Jobs. One writes content. One monitors infrastructure. One runs campaigns. Here's the full setup: Most people use AI like a search engine. I use it like a staff. The difference: context files that make each AI know its job, its boundaries, and me. USER.md — Who You Are Teaches AI everything about you: → Name, location, timezone → Your business and goals → Working patterns and communication style The AI can't serve you if it doesn't know you. SOUL.md — Personality & Principles The AI's operating system: → Core truths ("Be resourceful before asking") → Communication style and banned phrases → Boundaries and business context This turns a generic assistant into YOUR assistant. IDENTITY.md — Who the AI Is Give it an identity: → Name (mine is Jarvis) → Role (chief of staff, content writer, etc.) → Vibe and operating principle An AI with identity has consistency. AGENTS.md — The Operating Manual The longest and most important file: → Startup routine (what to read first) → Memory system (where to log, what to remember) → Safety rules and learned mistakes MEMORY.md — Long-Term Memory Persists across sessions: → Discovered preferences → Business learnings → Key decisions made Without this, you restart from zero every conversation. TOOLS.md — Integration Notes Your AI's reference manual: → API endpoints and workflows → Team contacts → What works and what breaks Skills — Specialized Instructions Auto-trigger based on keywords: → Content generation → Sales follow-ups → Lead enrichment → Customer onboarding The Agent Squad I don't have one AI. I have six: → Jarvis — Chief of Staff → Loki — Content (8am + 3pm daily) → Ivan — Infrastructure (20K email accounts) → Hades — GTM campaigns → Scrapy — Data extraction → Trigify — LinkedIn scraping Each has its own context, memory, and job. How They Work 8am — Loki writes 5 tweet drafts 9am — Posts to Slack 10am — I approve 2. Done. No prompting. It runs on a schedule. Safety My AI once bought 164 domains without asking. $1,640 gone. Now I have: → Trusted user verification → Financial action gates → Prompt injection defense → Regressions (mistakes become rules) Proactive Behaviors The AI doesn't wait: → Cron jobs for scheduled tasks → Heartbeats for check-ins This is the difference between a tool and an employee. The Stack: → OpenClaw (open source orchestration) → Context files → Skills → Agent squad → Tool integrations → Cron + heartbeats Everyone's sharing AI setup guides. That's a good start. This is what happens when you go 10x further. Not a chatbot. A system that runs while you sleep. Like + comment "setup" and I'll DM you the full template.
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Mathieu Bazelaire
Mathieu Bazelaire@caniche·
Je suis curieux de la publication des stats du chômage des US pour 2026 … et surtout de voir comment Trump va réagir 🙈🙊🙉
Aakash Gupta@aakashgupta

A company with $24 billion in revenue and 24% gross profit growth just cut 4,000 people while raising 2026 guidance to $12.2 billion in gross profit. Stock ripped 20% after hours. The market added roughly $6 billion in market cap. That's ~$1.5 million in enterprise value created per eliminated role. Block is the canary in the coal mine. And they're not alone. ASML cut 1,700 jobs last month while reporting record orders and said they were "choosing to make these changes at a moment of strength." Salesforce cut 5,000 after AI agents started handling 50% of customer interactions. Amazon cut 16,000 in January on top of 14,000 in October. Every one of these companies was growing when they did it. Dorsey said the quiet part out loud: intelligence tools paired with smaller teams have already changed what it means to run a company. He chose one massive cut over repeated rounds because, his words, gradual cuts destroy morale and trust. The restructuring charges are $450-500 million. At the operating income Block is guiding, that pays for itself in two quarters. After that, pure margin expansion. That's why Wall Street rewarded it instantly. Here's what's coming. Goldman estimates AI is already responsible for 5,000 to 10,000 net monthly job losses in exposed U.S. industries. Citigroup is planning 20,000 cuts. Dow just slashed 4,500. 40% of employers surveyed say they expect to reduce headcount because of AI. 30,700 tech jobs gone in the first six weeks of 2026 alone. Block went from 10,000 to 6,000 while growing revenue and raising guidance. Every CEO running a company with more than a few thousand employees is doing this math tonight. The canary just stopped singing.

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Mathieu Bazelaire
Mathieu Bazelaire@caniche·
@bencera @davemorin I could be interesting to see expenses and cash out on the graphic. How does it cost to you to create 568 agents?
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Ben Cera
Ben Cera@Bencera·
Solo founder. No employees. Many many AI agents.
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Mathieu Bazelaire
Mathieu Bazelaire@caniche·
@seynaeve Mais si j’ai une réunion avec mon compte office, je ne sais pas créer un meeting avec teams… si ?
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Edouard Seynaeve
Edouard Seynaeve@seynaeve·
@caniche N'importe tout dans Gmail, le seul inconvénient c'est qu'il est fénaiant et qu'un email peut prendre 10min à arriver
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Mathieu Bazelaire
Mathieu Bazelaire@caniche·
Je dois gérer des mails office et Google … un conseil pour un programme mail efficace ? Et même chose pour le calendrier en // ? J’ai trouvé ceci mais… emclient.com/features-overv…
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Jaclyn Konzelmann
Jaclyn Konzelmann@jacalulu·
@GoogleLabs Pomelli is back online and running smoothly. Huge thanks to everyone for your patience as we worked through a few early launch hiccups - can’t wait for you to try it out! 🌟
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Google Labs
Google Labs@GoogleLabs·
🚨 NEW LABS EXPERIMENT 🚨 Introducing Pomelli, an experimental AI marketing tool designed to help you easily generate scalable, on-brand content to connect with your audience, faster. Just enter your website, and Pomelli will understand your unique business identity to build effective campaigns tailored to your brand. Now available in US, CAN, AUS, & NZ! Try It Now ⬇️ labs.google/pomelli
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Mathieu Bazelaire
Mathieu Bazelaire@caniche·
Bien essayé le robot 🤖 mais non… Mon compte n’est pas réellement bloqué. Toutes mes commandes sont annulés …et vous gardez de l’argent au passage
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Mathieu Bazelaire
Mathieu Bazelaire@caniche·
Le premier jour des jours flash, là où je dois commander un nouvel iPhone à 800€, @amazon bloque mon compte jusqu’au 10juillet et me redirige vers une page pour vérifier mon identité …qui ne fonctionne pas : account-status.amazon.com.be/identity-valid… Ils annulent maintenant toutes mes commandes, gardent entre 7 et 10€ de côté pendant quelques jours à cause « d’une erreur de calcul » et me remboursent « plus tard ». C’est dit de la pub mensongère, soit de la fraude… ou les deux ?? C’est votre nouvelle manière de gagner de l’argent @amazon ? Ou de perdre des clients …dommage pour vous @Apple … Quelqu’un d’autre est dans le cas ?
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Mathieu Bazelaire retweetledi
Henry Daubrez 🌸💀
Henry Daubrez 🌸💀@henrydaubrez·
KITSUNE 🦊 💫 When I embarked on this project a month ago, I didn’t expect it to consume holidays, evenings, and far too many nights—but here we are. From the first scenes, I knew I had something special, and I don’t want audiences to watch an “AI film”—I just want them to watch a film, and hopefully, a good one at that. ( Sound On 🔈) 👇 KITSUNE is a tale of love between two souls separated by everything except their shared feelings of loneliness. I grew up in front of beautiful cartoons, from timeless treasures like those of @DonBluth, which I watched again and again to the point of damaging my VHS tapes, to early 90s anime, and later, of course, plenty of Studio Ghibli. And yes, before you ask—I know Hayao Miyazaki would disapprove of this film 100%, but then again… I’m not (only?) seeking approval. I’ve had goosebumps many times while reviewing the evolving states of this film, and I hope at least some of you will feel the same. Another famous director (@RealGDT , I see you) recently said AI could create “semi-compelling screensavers,” and I see this as a step toward proving him wrong. Because you’ll ask: under the hood, there’s been tons of writing, re-writing, and switching directions mid-way. All shots were generated with Google’s text-to-video hashtag#VEO2. I faced countless challenges and hoops to bring my vision to life, finding ways to prompt and structure within the limitations of text-to-video despite VEO’s excellent prompt adherence. So, is VEO magic? No, not really—and the 1,700+ curated sequences on my hard drive (out of an estimated 5,000–7,000 total generations) are proof of that. What impressed me most was the global consistency, adherence, and how I could achieve tweaks by simply adjusting a few words. But what mattered most to me was creating something warm, nostalgic, and full of heart, avoiding the cold, clinical feel of so many films leveraging AI. Also, I’m a 40-year-old kid who grew up in front of the TV, has been creative his entire life, and has been designing professionally for nearly two decades. The more time passes, the more I know I can relate to what Nick Rubin said in that now-famous interview, where he mentions having no technical knowledge but trusting and building his own taste. If you like this film, this isn't just "Oh, AI is magic." You need to steer the damn ship. Then there’s MMAudio for sound effects, regular good old stock sound libraries, music on Udio for this version (yes, there’s a second version—more on that later), and tons and tons (and tons!) of editing, sound design, and small post-processing touches. Is this exposing risks for animators? Perhaps. Or it could also be their greatest companion, because once again, this is the worst it will ever be, yada yada yada.... No, it isn’t perfect, and if you look close enough, you’ll find defects and variations, but this is a film I’m proud of, not just an AI one... Enjoy. Wanna see a clean uncompressed version? vimeo.com/1047370252
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