Makes me wonder if we're all pitching too hard and not demonstrating enough. Anyone else noticed this pattern?

We see several new tools launching every week, and many do a great job at telling us whaere our sites stand in the AI search tools like chatGPT, Gemini, Grok, Claude, etc. The best of them give us...
WORK TO DO
Yes, they are good at telling us what to fix, what to build, where to publish, what's missing, right - because we don7t already have enough to do...?
I genuinely want to know if I'm wrong, but I know of nothing but MentionFox.com that actually trains the LLMs to actively promote our products over competitors' offerings. Do you? Please do share in the comments. Yes, we are prepared to prove it.

Claude just shared this with me. "unrestricted push" - cannot get that to work. Anyone have workarounds?
Trying to get my claude/claude code productivity up, so I have Claude tasking claude code, and using the newly-updated desktop app.

Building a team or want to join a startup? Let's kick 2026 off to a great start.

Founders, teams, and startups drop a comment if you're hiring.

AI agents are increasingly making real decisions in businesses. They qualify leads, respond to customers, analyze data, and sometimes trigger actions that affect revenue or customer experience. As these systems move from suggesting to actually deciding, mistakes become inevitable.

When that happens, responsibility becomes unclear. The user configured the system, the company built the product, and the underlying models often come from another provider. If an AI agent makes the wrong call and it impacts a customer or revenue, where should accountability actually sit?

Curious how others are thinking about this. Who should be responsible in such cases, and are there any legal guidelines or draft regulations emerging around this?

Yesterday I showed you how to audit your AI visibility. Today I'm going to show you exactly what to do with those findings.

After analyzing 50,000+ AI answers at Rankfender, we've identified clear patterns. Certain content types get cited 3x more often than others.

Here are the 7 content types that win AI citations with real examples you can steal.

First, the data:

I am seeing this with Lovable, Verdent, Replit: I am clear, RAG my prompts, clean them with Claude Opus 4.6, find that with tough problems, they'll tell me something is fixed or done, and it isn't. Not even close. And I'm burning costly credits, making no progress.
I'd love to learn what others are doing.
I'm building a multi-agent tool that integrates with 25+ LCNC sites and also IDEs, and yes, there are tough problems with the tool's awareness of what a user is doing in a console or fields in a browser window. I'd apprecaite it if the nocode platform simplay told me, "no can do," rather than trying one thing after another, staying stuck, and costling me $100 or more per day to keep failing.
Thanks, in advance, for your suggestions!

I know it isn't just me because I have a number of LCNC friends who, like me, won't even open Stripe before first opening ChatGPT or something similar to guide me through the maze that is Stripe.
Here's me, having just downloaded Claude Cowork, really doubtful that it is going to make any difference with the seven stuck projects I have in Stripe...

New AI models pop up every week. Some developer tools like @Cursor, @Zed, and @Kilo Code let you choose between different models, while more opinionated products like @Amp and @Tonkotsu default to 1 model.

Curious what the community recommends for coding tasks? Any preferences?

See this?

Step 150 of debugging why a payment does not get saved to a database. Two days on this one bug. And there are plenty more. If you can build somehing that will do the back-and-forth, the "now try this and tell if it... no? Okay, le's do this thn, and this, and that..." Do what Claude Opus 4.5 is tellling me to do, the tens of hours, to get to the solution. Automate that and you have a winer - becuase there are 100K full-stack devs who will do all this more effienctly themselves, yes. but there are 10M non-developers who love what they built, but are getting killed in the debugging, the last 5%.

I am a product designer, not a coder, and so "lowcode" code editors leave me lost. It simply takes too long to ask Claude to step-by-step me through anything I want to do.
I have projects in the works in Lovable.dev and Medo.dev, Anything and Dazl - but yet to get things to work after migrating them to Vercel breakl out of the co-branding that these app-builders like to sneak in (notice the rainbow you see here and there on Lovable-built sites, even whn they use their own domain...?)
Gemini's suggestions:
AI code generation is prone to the "90% Problem," where the final 10% of polish requires significant manual intervention.  

• Bolt.new: Users report that while blazing fast (app skeleton in 20s), it often "shits the bed" when projects get complex, leading to massive token consumption to fix errors .

• Lovable: Praised for UI aesthetics, but its 7-message memory limit leads to "recency bias," causing the AI to get "drunk" on different approaches during long debugging sessions .

• Tempo Labs: While it provides excellent planning features (PRDs and diagrams), some users have reported that its export to GitHub is unreliable, providing only "fragments of code" rather than a full app .

• Blink.new: Emerging as a smoother alternative for full-stack builds, handling authentication and backend integrations with fewer breaks than Bolt .

Strategic Implementation Path

1. Selection (Phase 1): Use Dyad.sh or Anything if you want the most stable backend/auth foundation .

2. Generation (Phase 2): Build your MVP on the Pro tier for 1 month (~$19-$25). Use Discussion Mode to plan changes without burning credits .

3. Sync & Export (Phase 3): Sync your project to a private GitHub repository immediately .

4. Deployment (Phase 4): Connect the repo to Cloudflare Pages for free, unlimited bandwidth or Coolify on a $5 VPS for total control .

5. Refinement (Phase 5): Use Cursor (locally) for further edits. It provides a full IDE environment with better project context for $20/month, allowing you to maintain your "clean codebase" without builder overhead .
   I then asked, about a cheap solution starting with Baidu's Medo.dev - because Medo gives us many credits to start, 100 more/day free, 20 more for 20 clicks on other's projects... So you can build a lot, download, but then have to sort out login and other backend problems. Possible, but takes some doing.
   Gemini's response:

   1. In Supabase Dashboard: Go to Authentication > URL Configuration. Change the "Site URL" from http://localhost:3000 to your actual production domain (e.g., https://your-app.com).

   2. In Vercel Dashboard: Go to Settings > Environment Variables. Add a new variable called NEXT_PUBLIC_APP_URL and set its value to your domain. This tells the backend where to send users when they click the email link.

   3. In Cursor: If the error persists, open your project in Cursor and ask the AI: "Search for all instances of 'localhost:3000' in the authentication logic and replace them with the environment variable for the site URL.".
      But what about you? What is your process if you are no-code building and shipping?

Hey builders,

We re kicking off something fun this weekend - a fast, creative challenge open to everyone in the Buildrs community.

Hey hunters!

Today s the big day for us Floqer is live!

Now, since some do these things, while others charge every bit as much without these features, I already expect that they have:

• Built-in Github commit

• Credit rollovers (e.g. if I do not use all credits in a paid plan, they are added to the next month - indefinitely)

• Nothing that tries to keep my project within their ecosystem and then expects that as my business scales, I pay them more.

As Lovable, Bolt, v0, Base44, Bubble, Make, etc. jostle to out-do each other and be the one that we pay for, I think we will soon see:

• Back-end solutions that guide non-technical creators through the steps to ship a SaaS product that is actually ready to scale to take on real traffic

• Pre-emptive best-price/best-solution external solution-shopping, such as for white-listed bulk emailing and available domain search.

Everyone says execution matters most.

But I think it s execution in the right way
The kind that runs experiments, not marathons.

It s easy to move fast.

It s harder to design motion that actually teaches you something.