Taming the AI Chat Chaos: Organize GPT, Gemini & More

Hello First AI Movers readers and Spotify listeners! If you’ve been using multiple AI chatbots, you’ve probably got a mountain of conversations piling up. Between ChatGPT, Google’s Gemini, Anthropic’s Claude, Perplexity AI, and others, it’s easy to lose track. In practice, many power users end up with dozens or even hundreds of threads across these platforms and struggle to recall or reference past chats. When you have a large number of chats, it can be challenging to find the one you’re looking for.

Each AI provider has tried to solve this with its own twist. OpenAI added ChatGPT “Projects”, letting you group related chats, files, and prompts together (essentially personal folders). Anthropic’s Claude offers a similar “Projects” feature: each project is a self‑contained workspace with its own chat history and knowledge base (you can even upload docs and define custom instructions). Perplexity AI has “Spaces”, which are essentially topic folders for Threads and uploaded files. Google’s Gemini lets you build “Gems” – custom AI experts built from detailed prompts and personal files. Each system works okay on its own platform. For example, Gemini’s gems “let you save highly detailed prompt instructions for your most repeatable tasks.”

But here’s the catch: none of these are compatible. A Gemini Gem won’t appear in ChatGPT or Claude, and a ChatGPT Project can’t pull in Perplexity threads. In other words, the organizational schemes are non‑standard and siloed. The result is a fragmentation headache: users must mentally translate between “Projects,” “Spaces,” “Gems,” or however each tool names its buckets. Even within one app, the built‑in tools aren’t always enough. You can rename ChatGPT chats or use voice notes, but finding a needle in a haystack of 200+ links (saved or not) is still tough.

So what do savvy users do? Many resort to external systems and naming hacks. Some develop strict naming conventions or tag chats in the title with keywords—definitely a good and simple procedure to implement. Others copy important conversations into Notion, Google Docs, or bookmarking apps. For instance, Bookmark Ninja is a bookmarking manager that lets you save ChatGPT conversation URLs into custom tabs and categories, effectively treating each chat as a link you can tag and search. Browser extensions have popped up, too. One example is Echoes, which advertises “Cross-LLM Integration” to “search and manage chats from multiple platforms in one unified space”. Echoes can import your ChatGPT, Claude, and Gemini chats under one roof, letting you label, summarize, or export them. Another community tool (SaveAIChats) similarly captures prompts/responses from ChatGPT, Claude, Perplexity, DeepSeek, and more into a single library (so you don’t have to copy‑paste everything).

In short, the situation is chaotic. Organizational features like ChatGPT’s Projects or Gemini’s Gems assist within a platform, but they use different terminology and don’t communicate with one another. The responsibility lies with the user to adopt cross-platform workflows: utilizing tags, naming schemes, or third-party apps to establish order. We haven’t seen a universal “Chat History 2.0” yet – outside of tools like Echoes, PoliteAI (Product Hunt’s multi-bot chats), or Quora’s Poe (multimodel chatting, though lacking personal project folders). Perhaps someday we’ll have a unified workspace that syncs across GPT, Claude, Gemini, etc., but for now it’s a DIY effort.

Quick Takes: A roundup of recent AI headlines:

• Pallet Raises $27M: Logistics AI startup Pallet announced a $27 million Series B led by General Catalyst to scale its AI-driven automation platform. The company’s CoPallet AI tool digitizes manual back‑office logistics tasks (like order entry and quoting), claiming 10× faster throughput. The fresh funding will expand Pallet’s infrastructure and product roadmap in the $11 trillion logistics industry.

• Shopify AI Sidekick: Shopify recently upgraded Sidekick, its built-in AI co-pilot. It now offers multi-step reasoning— for instance, analyzing sales drops across channels – and can generate content and images. In practice, Sidekick can diagnose store problems (such as inventory issues and marketing gaps) and even design marketing visuals or promotions, all from simple questions.

• AI Store Builder: Shopify also launched an AI Store Builder (Reuters, May 21). Merchants can input a few keywords about their niche or product, and the tool instantly creates three different store layouts with photos and text. It’s a one‑click site setup to speed up store launches, especially for non-technical entrepreneurs.