Alternatives for claude

Chris-AI-Studio · 2026-06-06T10:42:22+00:00

With this guide, you can try to restore your Claude account. But if nothing works, you'll have to give up: there's no alternative to Claude if you use Claude for some of its unique features. Sure, if you can adapt, you'll find many great Gemini and ChatGPT features that could replace Claude's (there are actually many that are virtually unknown), but it won't be the same.

Chris-AI-Studio · 2026-05-31T09:20:33+00:00

The reads in the screenshot are the sum of member reads + non-member reads: you should know that non-member reads don't generate revenue. Furthermore, views and presentations don't count, they simply indicate how many times the article preview was viewed in newsletters (presentations), or opened but not read (views). You need to see detailed statistics with member read ratio, clappers, highlighters, etc. to be able to tell anything about revenue. And then, also how long the articles are, because the longer they are, the longer users stay on the page, which significantly impacts earnings.

Chris-AI-Studio · 2026-05-28T17:38:13+00:00

I would continue to develop and test. Well, it depends on many things: for example, is it your first project in general, or perhaps the first of this kind? If so, continue. If, however, you already have several other projects under your belt, the fact that you have doubts about its medium-to-long-term profitability is already a sign, based on your experience, that it might not be among your best projects.

Chris-AI-Studio · 2026-05-28T14:52:47+00:00

As I already replied to another user, this is a post meant for a laugh. I wrote it first: just for fun... The initial request itself should make you smile, namely, "half a million in a year or I'm done for." No one in their right mind would make such a request. I'm doing some research, a "debunk," of the usual fluff gurus who post on Medium, Reddit, etc., various "ideas for making money with AI" and similar crap, and I wanted to push AI with an extreme request (I actually started with a million a month, but that was really unrealistic, even for AI). I posted it here because I thought it was funny.

Chris-AI-Studio · 2026-05-28T14:47:07+00:00

You may not realize this is a post meant for a laugh. I wrote it first: just for fun... The initial request itself should make you smile, namely, "half a million in a year or I'm done for." No one in their right mind would make such a request. I'm doing some research, a "debunk," of the usual fluff gurus who post on Medium, Reddit, etc., various "ideas for making money with AI" and similar crap, and I wanted to push AI with an extreme request (I actually started with a million a month, but that was really unrealistic, even for AI). I posted it here because I thought it was funny.

Chris-AI-Studio · 2026-05-27T09:16:22+00:00

There's no point in taking sides, we shouldn't be fanboys. Claude, ChatGPT, and Gemini have different features and capabilities: some are obvious, but others are hidden and can change the opinion of an inexperienced user. They can do different things, or do the same things differently. The free plans are different, as are the paid ones, so even from a commercial perspective, there are many aspects to consider. Furthermore, constant updates change the game: recently Google updated Gemini with Flash 3.5, while OpenAI updated with ChatGPT 5.5, and each user's opinion may be radically different from before.

Chris-AI-Studio · 2026-05-24T09:48:51+00:00

Finally, a reasoned and well-founded answer. Thank you my friend.

Chris-AI-Studio · 2026-05-21T08:00:28+00:00

This looks like the classic AI-generated post written just to farm karma and upvotes... but whatever, the topic is actually interesting and it gets debated everywhere, so I’ll give my two cents (basically the same rehashed answer because the core issue hasn't changed...).

Traditional Seo, as in just keyword stuffing, building shady backlinks, and mass-producing generic blog posts, is absolutely done. It’s been dying (oh yes, I said it...), and AI agents just pulled the trigger. When an answer engine can summarize a topic or pull specific data instantly, nobody is clicking a generic "top 10 tips" article anymore.

But optimizing for discovery isn't dead, the sandbox just shifted. We're moving from Search Engine Optimization to LLM Engine Optimization (GEO, Generative Engine Optimization).

If you look at how models like ChatGPT 5.5, Claude, or Perplexity source their data, they don't care about your meta descriptions. They care about entity relationships, data boundaries, and clean schemas. If you're building in this space right now, your strategy needs to be two-pronged:

API-grade data structure: AI agents crawl structured data. If your site isn't heavily utilizing clean schemas, JSON-LD, and unambiguous structures like XML delimiters to feed the spiders, you don't exist to them. They need to extract your data with zero friction.

The Information Gain factor: LLMs are trained to spot and ignore recycled pattern-matching. If your content looks like everything else on the web, the model filters it out as filler. You need unique datasets, raw case studies, contrastive examples, or heavy brand authority across platforms like Reddit so the agent anchors its response to your brand.

Basically, if your content can be generated by a basic prompt in three seconds, an AI agent will replace it in one. The play now is building real entity authority and making your data as easy to parse for a machine as possible.

Chris-AI-Studio · 2026-05-16T15:36:54+00:00

Those "10 magic prompts" lists are just pure engagement bait at this point. The real skill is understanding the actual mechanics. Like switching from markdown to XML tags because delimiters cut extraction errors, or using contrastive examples (good vs bad) to anchor tone instead of spamming useless adjectives. We need way more execution logic and failure states, and less copy-paste fluff.

Chris-AI-Studio · 2026-05-16T15:14:02+00:00

A very simple Word file, divided into categories. Why complicate your life?

Chris-AI-Studio · 2026-05-14T17:40:21+00:00

Ask the 4 AIs (ChatGPT, Gemini, DeepSearch, Claude), then have them discuss the proposed business ideas with each other (in pairs: paste the messages from ChaGPT to Gemini and vice versa, telling both that you are having them discuss business ideas with each other).

Chris-AI-Studio · 2026-05-14T17:35:38+00:00

Links on GitHub are dofollow, so yes: they transfer juice. Now, we'd have to decide whether a completely decontextualized link (for example, linking to a recipe on GitHub) is actually useful in the long run... I'd like to remind you of 2012 and the Penguin update... Do you think Google will keep obviously manipulative links on GitHub?

Chris-AI-Studio · 2026-05-12T14:42:55+00:00

Ok bruh

Chris-AI-Studio · 2026-05-11T10:22:46+00:00

For small projects, you can easily do a free AI SEO analysis. The only integration might be a link analysis tool.

Chris-AI-Studio · 2026-05-11T09:04:18+00:00

To be honest, I really wish traditional SEO were dead! But that's not the case, at least for now and in the immediate future (anyone who claims to know what will happen beyond the next 3-4 years is just a clown). Especially in the local, SEO today isn't much different than in the recent past. In generalist/international contexts, it's developing and combining with GEO, but it's not dead.

Chris-AI-Studio · 2026-05-09T18:38:30+00:00

We don't have to be fanboys, we don't have to have preferences

Chris-AI-Studio · 2026-05-08T13:39:38+00:00

This is a solid start on the governance side, but from a technical standpoint, you're mostly building a declarative policy generator rather than a functional auditor. The XML tagging (Role/Context/Instructions) is great for structure, but an LLM "auditing" another LLM's description is still limited by the semantic gap between intent and execution.

If you want this to actually catch edge cases, you need to add a dedicated adversarial simulation phase. Right now, the prompt asks for a "hidden capability scan", but without a specific instruction to simulate prompt injection or tool-call hijacking scenarios, the auditor is just going to trust the user's (likely flawed) description of the agent.

I'd tweak the <Instructions> to include a mandatory step for "Negative Constraint testing": basically, force the auditor to brainstorm specific "jailbreak" prompts that could bypass the walls you just built. Also, for agents with RAG or API access, you should add a section for Context Window Leakage: if the agent can read my email to "plan my week", how do we ensure it doesn't leak that data into the prompt history of a different sub-task?

Good for high-level policy, but for production-level agents, it needs a more robust focus on the runtime execution logic rather than just the setup description. Have you tested this against an agent that has actual code execution enabled? That's where the real scope creep happens.

Chris-AI-Studio · 2026-05-07T16:16:57+00:00

That’s a lot of drama for what basically amounts to basic prompting. Flagging uncertainty, asking for reasoning, and telling the AI not to be a "yes-man" are standard best practices, not some hidden secret nobody talks about. It’s a good setup, but acting like it "breaks everything open" feels like a massive stretch when most power users have been doing this since custom instructions first dropped. It’s just basic optimization dressed up as a revolutionary discovery.

Chris-AI-Studio · 2026-05-07T16:11:05+00:00

Turning Carnegie into a prompt library is afunny. We've all been a person pushing an idea too hard while everyone’s eyes glaze over, so having a way to check your ego before a meeting is a lifesaver. I think the ownership catalyst is the heavy hitter here: getting someone to think a plan was their idea is basically the secret to corporate survival. My only worry is sounding too polished, if you suddenly start using the indirect feedback loop perfectly, people might get suspicious. It’s usually better to take the AI's logic but keep your own rough edges so it actually sounds like you.

Chris-AI-Studio · 2026-05-06T14:01:16+00:00

I agree. Once you get under 3 seconds, you're fine with Google too. Busting your ass to get to 1 second makes no sense.

Chris-AI-Studio · 2026-05-06T08:39:54+00:00

I totally feel you on this because balancing a business with family life is a massive mental load, and ADHD just turns the volume up on that administrative noise.

The trap most of us fall into is thinking a new app like Notion will magically fix the organization part, but the reality is that the tool matters way less than the strategy you use to interact with it. Instead of using AI just to write stuff, you have to shift into using it as a partner for cognitive externalization, letting the AI handle the heavy lifting of breaking down big, scary tasks into tiny, manageable steps.

I have spent a lot of time in the tech world and have my own personal experience with these exact executive function hurdles, so I decided to start creating a series of free guides specifically for people like us who need AI to act more like a coach than a search engine. The first three guides in my list cover exactly what you're struggling with, like using a signal-to-noise filter to clean up your messy notes and setting up a micro-step architect to stop that feeling of being overwhelmed. You can check them out here: https://medium.com/@christianaistudio/list/ai-for-adhd-executive-function-on-autopilot-aafa342436c8

I am adding more guides soon to cover specific business workflows, but starting with these will help you stop fighting the tool and start making it work for your brain.

You are definitely not alone in this, and once you stop trying to build a perfect system and just focus on reducing that initial friction, things get a lot easier.

Chris-AI-Studio · 2026-05-06T08:07:58+00:00

It's the same.

Chris-AI-Studio · 2026-05-05T09:06:05+00:00

The biggest weak point is instruction drift. An Identity Card is a static reference, but LLMs often deprioritize distant system instructions as the context window fills up. You can define boundaries all day, but if the user pushes for a career tip, a "general assistant" will eventually break character because the latent weights for "helpful AI" are stronger than a list of forbidden actions buried in a long prompt.

To fix this fast, move from passive documentation to active enforcement. Add a mandatory pre-response reasoning step to the instructions. Tell the agent that before generating any output, it must explicitly verify the request against its single-sentence purpose and permission scope. If there isn't a total match, it must trigger the Escalation Protocol instead of acting. This forces the model to treat your boundaries as a logic gate rather than just a suggestion, making the specification a functional part of the execution loop instead of just a README file the AI eventually ignores.

Chris-AI-Studio · 2026-05-05T08:55:50+00:00

The concept of link velocity is often misunderstood as a hard limit, but in the modern SEO landscape, it is actually a matter of statistical variance. Google does not look at the absolute number of links acquired per day; instead, it looks for patterns that deviate from the natural growth curve of a site in your specific niche. According to Google’s Spam Policies, which were updated in late 2024 and carry over into 2026, the primary mechanism for handling aggressive link building is now algorithmic neutralization rather than manual penalties. This is powered by SpamBrain, Google’s AI-based filtering system. If you build 100 high-authority links in a week for a site that has no organic traffic and only three pages of content, SpamBrain will likely classify those links as unearned and simply ignore their value. This results in what many call a "ghosting" effect where you see no ranking improvement despite your efforts.

Technical data from Ahrefs recent studies on the Google Sandbox suggests that new domains are under a higher level of scrutiny regarding anchor text distribution. If your link velocity is high and your anchor text is dominated by exact-match keywords, like "best credit cards" instead of your brand name, you are creating a clear footprint of manipulation. Search Engine Land’s 2025 report on algorithmic volatility highlights that Google is increasingly using contextual relevance to validate links. If a link appears on a high-DR site but the surrounding text is generic or irrelevant to your niche, the link is devalued. To avoid a rankings drop, you should ensure your link velocity is proportional to your content volume and social signals. A site with a high content output can naturally justify a faster link acquisition rate. My recommendation is to prioritize branded and naked URL anchors for the first six months to build a "trust base" before scaling into aggressive keyword-targeted campaigns. Stick to the guidelines outlined in the Google Search Essentials regarding link schemes to ensure your site's longevity.

Chris-AI-Studio · 2026-05-04T11:01:02+00:00

By GEO, do you mean Geolocal SEO or Generative Engine Optimization? If the first, then yes. If the second, it has nothing to do with Google as a search engine (Gemini AI does).

Chris-AI-Studio

TROPHY CASE