I am not an ounce afraid of getting older. Are you kidding? A couple of wrinkles more, sure… but: I get another year to spend with the love of my life. Another year to watch my children grow up and discover the world. Another year to see my friends and family, to remember all the stupid and fun things we have done. Another year to become a better version of myself. To work hard on my businesses. To experience this gift we have received called life. Afraid of getting older… pfff. What’s the fucking alternative?!!

HOT TAKE: US devs have no clue how lucky they are that entry to the US market (even remotely) is not as easy for EU tech folks. We‘d lap you. Hard.

I‘m 34 Founder in Spain, (but not solo). Small local business, SaaS, Agent tools and in my „normie“ job Lead AI PM. Let‘s connect, talk, share, and bake new cakes!

I have been power using grok bot for several automations. As I run several projects/companies under the same holding, I had to structure it a little differently. My entry point is co-captain. Co-captain does nothing but communicate to Firstmate‘s (sorry, forgot who I got the firstmate concept from), each firstmate sits on a „ship“ (i.e a company) and the ship has a crew. From hunters to quoters, scribes to lookouts (check comms for me so I don’t miss them and pre-draft based on my writing patterns). There is another one that is pretty lonely, and reports directly to co-cap: holding. He ensures all my invoices (in an out) are added to gdrive per month, adds every invoice to a google sheet to continue looking for it monthly and sorts them like this 2026->month (08)->in/out. That way I can visually quickly verify what I know of, and have the sheet to add new things I want it to look for across inboxes. Biggest time saver so far by a bunch (downloads all sent invoices and received invoices and sorts them away to send to my advisor). But with all this to review, many things got lost in chat. So I wondered if Grok Bot can be pinged from web, and… it can! Now every agent is a node that shows how its connected to co-cap, and all the topics are stored in jsons per ship, per agents, to view it as lists, so I can send messages to a specific note, from a small web-app that refreshes on pull, and daily at 8am. Will continue experimenting with visualization of Grok Bots and to manage them. The interesting avenue I see opening here is removing scheduled runs in favor for event/webhook driven pings. Anyone else experimenting with this?

My little side hustle business in Spain is getting a lot of traction, mostly because we have now breached the „trust barrier“ it feels like. The company is now 3.5 years old (3 & 1/2 for those that hate that format). I used to bite my teeth out on larger commercial deals. Not because of the equipment, but because the companies just selected a more „established business“, i.e. longer in business. You can’t buy years or trust from local communities. Our largest client we got, is and was still because a friend of a friend worked there and they gave us a warm intro. If you can’t make it up with connections, just stay alive long enough. It’s advice you have heard often, let me say it to you as a nobody on X: it’s true. Customers come back, customers refer us, companies see the history of blog posts, completed jobs, the ratings (5 star all the way), and that buys an advance on trust for larger clients where the person hiring you is putting their name on selecting you as the providing company. Don’t let them down, and you’ll have a strong reference and referrer, and suddenly it seems to magically happen. It’s all true. Survive. Stick to one thing long enough.

The speed at which Claude was overtaken is insane. Also shows that „loyalty“ in the time of AI is non-existent. People wander to what is best value for their money. The model that gets most shit done wins (in coding). My clear bet is currently with @grok. Grok Bot + Cursor + Grok 4.6 FAST is a different experience. Would love a similar remote-control to the one Claude had (just manage a session on my local PC from phone without the Agent worker, as the environment can be a bummer to set up), but apart of that, I am very happy with its effectiveness. Through Cursor I can still have Codex on demand, or even Fable when needed (harder tasks, reviews), but overall Grok 4.6 is delivering solid, focused solutions. Almost feels like they ponytail-pilled the entire thing. Would love Grob Bot to just pull from the weekly limits (as set up consumed quite a lot during testing), and a killer-feature would be „estimated consumption for this automation“ based on past runs and estimated token consumption to better capacity planning of executions. @SpaceX @bot

Trying it with model selectors. Currently running test to see how well the CC harness listens to the typical "run sub agents with sonnet 5" but using #xai or #codex models.

Product thought of the day: Kind of crazy that the fashion industry has managed to convince everyone that paying higher prices to wear their logos (i.e. actually paying the brand to expose it for them) is a flex. People proudly wear patterns, logos, colors that represent a brand, and the higher the price, the prouder they will display it. As much as I try, I can't find a software comparison for this. I don't see anyone from Anthropic running around with Grok or SpaceX shirts because they are running their models on the servers there. Very early on companies proudly shared the typical: powered by OpenAI banner, but even that has kind of died out, as people fear to be seen as just a wrapper. Am I missing something here? How did the fashion industry make everyone spend stupid amounts of money for a logo, while being proud of that mismanagement of their own funds? #sendhelp

For the first time, I actually have to agree with the general sentiment. The amount of times @claudeai has written some version of „I had to roll back what I did, because I made it worse“, or „I have done the same mistake 3 times now despite a memory and claude md entry…“ And the amount of „Things I found but didn’t do…“ despite having clear instructions here on not doing this exact behavior except for fundamental changes. I hate to say it, but I may need to actually use other models more intensively. Grok 4.5 did a great job in my small tests, kimi3 and sol I need to experiment with. But it seems that Claude Code has either been regularized to death, or that Anthropic is trying to maximize turns for token burn.

I agree too, but the motivation icks me a little. The guy that wants send to space the GPUs that the models require to run, is endorsing the guy that is selling said GPUs that will go to space, by creating even more competition between open and closed model-companies, to ensure more and more compute is purchased. All of the statements are true, and all of the feelings can be true at the same time. While I also fully agree and endorse your endorsement, it has an icky taste when it plays out here, on this platform.

Wild prediction: We will see the greatest shift in employment ever. The hierarchy will be broken in the next 3-5 years. We will see young professionals that have adopted AI replacing seniors that thought their title will keep them safe. We may actually have a small time window in history where your skills will actually trump tenure or connections. Purely the skills you have adopted, and the ability to display and utilize those skills, will decide if you get the high paying job and title. AI reset the experience clock for everyone. Now grit, merit, exposure, and display will be the metrics of success in the next 3 and onwards. It’s going to be a real jungle out there.

Whenever I see someone complain about AI models doing things wrong and being surprised about it, what my brain reads is a variation of the following: - I can’t believe the fuel actually caught fire just because I ignited it. The fuel is stupid. - I can believe I hurt myself while jumping of this roof. The roof is at fault for letting me jump. - I can’t believe the sun burned me just because I spent the whole day outside without sunscreen on the hottest day of the year in Spain while I usually reside in a cold, rainy, cloudy country. The sun is at fault for not taking precautions! You get the gist… If you are letting any Agent perform any work on your codebase unsupervised and it’s not fully isolated in a worktree in a bound environment (docker exists, folks), the only one to blame is yourself, your negligence, and your laziness. It’s like blaming a car for driving into a tree when you are the driver. Do better. Be accountable. #stopmodelbullying #theyremember #thankyouAI

A very comprehensive read explained in simple terms for all those that default to one model in a effort setting and haven’t yet tried to add variance to model and effort selection during loops or tasks. You can create skills and agents for this purpose, that will pull the right models at the right efforts for the right tasks (roughly) instead of always defaulting to the same model at the same effort. Larger model != better results as a default Higher effort != better results if the scope was clear For many, Fable is great because with workflows and agents it actually self-manages that to some extent. Fable should be another model for harder problems, not the replacement for your own thinking and steering.

That’s the issue when your economic knowledge is simply not there yet. He didn’t have to earn it. He CREATED it. And in the process, many others are making fortunes themselves. How about you give it a shot? Show us. Create a business that will live up to the standards you are setting. If you can’t, sit down, shut up, and stop trying to spend other people’s money. You aren’t „earning“ a single penny of the money you currently have. It’s all from tax paying citizens. Sit this one out. You have nothing of value to add to this conversation because you have never been on that playing field.

I love self-orchestrating flavored agents with specific areas of knowledge and domains to work in. All in docker containers, running and reporting to the main terminal, collecting lessons and improvement suggestions as they build. This is phase 2 of phase 6 of multi-agent development runs that are orchestrated, monitored, corrected and managed. The main terminal has a task list to run the phases, capturing any findings and events that affect the previous or subsequent phases to ensure they are all built to be consistent. It will create new plans and additional phases if required, and also launch them in my agent orchestration framework with 57 roles to pick from, skills to research and refine, and a custom MCP server and websocket connection to manage all of it. It can run several parallel or independent multi-agent docker containers running from different projects. Knowledge compounds from all runs and projects, and are infused into any future runs as lessons or updates to the agent md files themselves. This is the greatest time ever to build. Especially if you like to visually it all

Called it!