Abhiwan Technology

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.

1. Problem Breakdown from the Moderator:

A detailed description of a systemic pain point in the B2B segment has come to ProblemHunt. This is not a classic user request but rather an analysis from a consultant. We can't publish it as a standard problem, but it's too profound to ignore. Let's examine it as a case study. Before publication, all unnecessary information was removed while preserving the important details and essence.

The day before yesterday, I was looking at the profiles of founders and team members of Lovable, as well as other companies, e.g. Hubspot, and they all look pretty good.

Lately, I ve been getting offers to help grow LinkedIn profiles from several founders, and I m starting to feel like at least LinkedIn is hype.