sgr catering

Different AI models excel at different tasks. This isn't just theory, it's backed by real-world benchmarks:
leads in coding (80.9% on SWE-bench) and long-form writing with careful reasoning
excels at conversational tasks, creative work, and maintains memory across sessions
dominates with 1M-token context windows, making it ideal for analyzing lengthy documents
(Writer's enterprise LLM) offers cost-effective performance for business workflows with specialized variants for healthcare, finance, and creative tasks
Despite these clear differences, most professionals stick to one platform. Why?
: Switching between AI tools means losing context every single time. You waste hours re-explaining project details, preferences, and constraints. Tab-switching becomes friction. Context-switching becomes exhausting.
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This is exactly what we have done with Pluto - Plurality Network's ontology agent that supports switching between 30+ AI agents.
1. Go to our memory studio: https://lnkd.in/dp3EJjZj
2. Create memory buckets for your projects in the Memory Studio
3. Add documents or manually input context
4. Switch between ChatGPT, Claude Opus or Sonnet, Gemini, or Palmyra and others mid conversation. Your context stays intact.

Since I haven't been able to meet my work goals very well in the last few quarters, I now plan to approach them more systematically and not push myself too hard on work goals, as that ultimately led to problems that made my plan less sustainable.

So here is my structure and list:

Hey Product Hunt community,

I recently challenged myself to build and ship a tiny Product Hunt-related project in about 24 hours. No grand vision, no long roadmap. Just an idea I personally wanted to see exist, built fast and pushed live.