Steph France

I build AI agents for a living and share everything I learn on YouTube. I've been building e-commerce brands for my clients and myself since 2017. In 2020 I started building automations for everything I could. When GPT3 came out, my focus shifted to AI automations, with tools like Make and n8n, I was creating systems to automate different parts of my clients's marketing. Until late 2025... When I started building my first agent. Within weeks it took over everything I was doing. It reframed completely my work and what I think is possible. Since then, I build and operate agents full time: For myself: a general-purpose agent that orchestrates my entire business. Research, scheduling, email, content, and client coordination. For my wife: an agent that manages her entire coaching business. Social media, content planning, scheduling, and admin. For my clients: General-purpose agents deployed inside 7-8 figure e-commerce teams. Used daily by dozens of people for market research, content production, ad operations, and reporting. Single-purpose agents: autonomous customer service agents handling tickets across email, chat, WhatsApp, and Instagram. Running live on Gorgias, answering customers in 3 languages. I believe every person and every business should have their own agent. A real agent with identity, memory, and skills that grows with you over time. YouTube is where I share what I'm building, what I'm learning, and what breaks along the way.

@AndrewGiorgiAI Exactly why my contebt rythm is one vid every 3 month in average lol

I am not going to be one of those content creators who is going to be using AI tools just to make content on it. I am not going to be making content about stuff that I am not doing or using regarding OpenClaw or any other AI Software. I am not that guy. I want the people who are watching me to know that they are getting information from someone who is ACTUALLY using and implementing the strategies or use cases that I am talking about and teaching. Most people in this space will talk about shit they are not actually doing and using just for views. Short term thinking. And it hurts your relationship with the people who are watching you. Absolute losers these people are. Straight up.

@adrien_brbr 🙌🇫🇷

If you're juggling 3+ social accounts manually, this is your reality: - Open tab. Paste. Tweak. - Open tab. Paste. Tweak. - Open tab. Paste. Tweak. - Wake up and do it all again. So I built an AI agent that handles everything from one chat. One message. X, Threads, LinkedIn, Instagram, TikTok. Go try it: postclaw.io

@arthaud_ Proud 🇫🇷

the French government’s MCP is better designed than 99% of MCP servers coming from tech companies citizens can use agents to understand how their money is spent

@AndrewGiorgiAI Sending you a dm

@meetstef Very open to it

I built AI agent teams that runs 1 of my businesses & 2 of my client's businesses. Scheduling. Onboarding. QA. Order tracking. All of it. What used to eat 60+ hours of my week now runs without me touching it. Here's exactly how I set it up 🧵

@shmumick @bcherny @shmumick Sending you a dm

Yep that my breaking point I’m moving to Codex it was a great ride. Boris thank you so much for Claude been using it heavily recently moved to 20x as I saw the real power of it with 1m context window, but openclaw is how I manage my day to day I will not pay extra for it… so long and thanks for all the fish!

Starting tomorrow at 12pm PT, Claude subscriptions will no longer cover usage on third-party tools like OpenClaw. You can still use these tools with your Claude login via extra usage bundles (now available at a discount), or with a Claude API key.

@bcherny I hope for you guys that you will keep having the best AI model forever, because as soon as a competitor gets close, you'll lose at least 50% of your customer base. And I'll be the first one.. I've been a huge fan since Opus 2 came out, now the love story is absolutely over

I don't mention OpenClaw at first because the real hype shouldn't be about this specific tool, in my opinion, it should be about "agents". It's just the very first one, the model for a new category. At the moment it works amazingly well, but I try to stay tool agnostic and I'll happily move to a different one if needed

@meetstef ah , now you mentioning openclaw I'm 100% with you now "Valid uses case for sure building / having your own AI agents, agreed Steph!"

I build AI agents for a living and share everything I learn on YouTube. I've been building e-commerce brands for my clients and myself since 2017. In 2020 I started building automations for everything I could. When GPT3 came out, my focus shifted to AI automations, with tools like Make and n8n, I was creating systems to automate different parts of my clients's marketing. Until late 2025... When I started building my first agent. Within weeks it took over everything I was doing. It reframed completely my work and what I think is possible. Since then, I build and operate agents full time: For myself: a general-purpose agent that orchestrates my entire business. Research, scheduling, email, content, and client coordination. For my wife: an agent that manages her entire coaching business. Social media, content planning, scheduling, and admin. For my clients: General-purpose agents deployed inside 7-8 figure e-commerce teams. Used daily by dozens of people for market research, content production, ad operations, and reporting. Single-purpose agents: autonomous customer service agents handling tickets across email, chat, WhatsApp, and Instagram. Running live on Gorgias, answering customers in 3 languages. I believe every person and every business should have their own agent. A real agent with identity, memory, and skills that grows with you over time. YouTube is where I share what I'm building, what I'm learning, and what breaks along the way.

@Powercommitment Not at the code level, I build on openclaw for now, all the harnessing from my side is about making them act how I want them to and use the tools I need

@meetstef AI agents You mean you give it your own harness?

@mehdichekkal We were talking about bringing her on in a podcast :)

@meetstef Interesting! My wife is also a high ticket coach. Would like to understand how agents could help her!

Having kids is the weirdest thing ever when you think about it this way

Deploying an AI agent in your business is a high risk, high reward decision. High risk because we do not fully understand what these systems will become. High reward because the people who start now will compound knowledge while everyone else waits for certainty that will never come. First movers move faster. They take more market share. They build understanding their competition will spend years catching up to. But you do not hand over the keys on day one. You climb a ladder. I call it the Trust Ladder. Three levels. Level 1: The empty shell. You set up an agent. It knows nothing about your business. You give it information about yourself, your company, your market. You connect it to external tools. Market research APIs. Image generation. Web search. It is already useful. It generates content, answers questions, helps you think. It is better than anything we had access to 6 months ago. But it is generic. It works with what you feed it manually. It has no context about your actual business operations. Most people stop here. They use agents as fancy search engines. Level 2: Read access. This is where it gets interesting. You connect the agent to your sensitive business assets. Your ad account. Your Shopify backend. Your CRM. Your analytics. Read only. It cannot touch anything. It can only look. But now it sees everything. Your revenue numbers. Your ad performance. Your customer conversations. Your inventory levels. Your email campaigns. It combines data across platforms that your team currently checks one by one. It spots patterns no human has time to find. It generates marketing assets grounded in your actual data instead of generic templates. The team starts thinking with it instead of just asking it questions. Because now it knows what it is talking about. This level is where most of the value already lives. An agent with read access to your business is a team member who has read every document, checked every dashboard, and remembers all of it. Level 3: Write access. The final level. The agent can now act on your sensitive business assets. Create ad campaigns. Update product listings. Draft customer responses. Adjust inventory. Send emails. This is where everything changes. The work your team does manually every day gets supercharged. Not replaced. Supercharged. Because the agent does not just have tools. It has the full context of your business combined with the ability to act on it. When you configure the information architecture properly, it connects data from every platform, processes it, and executes with all that context available at once. No human can process that much information simultaneously. The agent can. But you earn this level. You do not start here. You watch it operate at Level 2. You verify it understands your business correctly. You build trust through evidence, not hope. That is the Trust Ladder. Empty shell. Read access. Write access. Each level requires a conscious decision. Each level increases both the risk and the reward. Each level compounds on the one before it. The business owners who climb this ladder now will be operating at Level 3 while their competitors are still debating whether to try Level 1. That gap does not close. It widens.

@willow_tree69 I didn't try it yet but from what I see it should be possible. And a lot cheaper than full opus for sure

@meetstef good stuff bro, what's your thought on using kimi claw for this ? is it possible

Access is the new teaching: This is why AI agents don't need onboarding You probably think you need to teach an AI agent about your business. Your brand voice. Your customers. Your processes. Wrong. You need to give it access. It will teach itself everything it needs. We gave an AI agent access to a helpdesk via API. 100's support macros. Thousands of solved tickets. Real customer conversations. It figured out the brand voice on its own. The exact tone the team uses with frustrated customers. The phrases that de-escalate. The structure of a great response. But it went further than that. It found the deepest pain points customers have. Patterns buried across thousands of tickets that no human had time to synthesize. It figured out where the product communication was falling short and how to improve it. Nobody taught it any of this. It processed the data and built its own understanding. Now imagine giving it access to more. Your customer reviews across every platform. It reads thousands of them and extracts what people actually love, what they complain about, and the exact language they use to describe both. Your team's Slack conversations. It understands how decisions get made internally, what questions come up repeatedly, where communication breaks down. Your Shopify backend or your CRM. It sees every product, every order pattern, every customer segment. Not as a dashboard you glance at. As context it holds permanently. Your email communication with customers. It learns how you sell, how you follow up, how you handle objections. Then it does it for you in the same voice. Every new data source you connect multiplies what the agent can do. Not because you trained it. Because you opened the door. This is the shift. Access is the new teaching. Before agents, all of this data existed but it was impossible for any human to process it all at once. The reviews sat in one place. The tickets in another. The Slack conversations in another. Nobody had the bandwidth to read everything and connect the dots. The agent can. It processes volumes of data that were simply inaccessible to us before, and it builds its own knowledge from it. You still need to guide how it organizes that knowledge. That is the part agents are still missing. The structure, the information architecture, the hierarchy of what matters. That is your job. But the raw understanding? The patterns, the voice, the insights? It creates all of that on its own from access alone. Give it access. Let it learn. Guide the structure. Then build on top of everything it discovered. That is the new way of creating value for businesses.

30+ hidden Openclaw business use cases most founders will never find

@willow_tree69 My problem is I can't stop building , no time for content😅 I'll try soon, promise!

@meetstef keep us updated👁️🤖

Lovely feeling: going to bed knowing that my Clawdbot is going to spawn an army of sub agents to run Claude code and build me an app while I'm sleeping. Curious to see the result tomorrow

@Powercommitment Well, let's say it was one of those major changes (another one), I haven't spent a day since then being amazed at what I could do or spending hours thinking of all the things we will do soon :)

@meetstef How is your OpenClaw journey going so far Steph?

After a few days with Clawdbot, I start seeing the flaws: - Context management is a pain - The long term memory is not performing as expected (keeps forgetting things) - The "black box" file system makes it difficult to track where stuff goes - Not as "pro-active" as I expected But it's incredibly great at figuring things out without feeling technical. Feels like a glimpse of the future. Just not quite there yet. Really interesting.