Wrangling the Mangling of Writing with ChatGPT
Maybe I built too many different things too fast and AI can't keep up with my brain
Meanwhile my books are half written, content copy mangled and my head is exploding from the frustrations 🀷
So I had to Go ogle:
"ChatGPT seems broken, won't maintain directives, drifts into repetitive patterns, mangles my writing. Should I use Perplexity, Gemini, or Claude to write my content, programs, books?"
AI Overview
It sounds frustrating when a tool you rely on doesn't perform as expected. When choosing an AI model for tasks like writing content, programs, or books, the "best" option often depends on the specific project requirements and the type of interaction you prefer.
Here is a comparison of Gemini, Claude, and Perplexity for writing:
Gemini
Strengths: Excels at multimodal reasoning, integrating real-time search information, and handling general creative tasks like content generation and drafting emails. It is effective for tasks that benefit from current data and Google's ecosystem.
Best for: Up-to-date content, research-heavy writing, general purpose creative work, and integration with other Google services.
Claude
Strengths: Known for its conversational ability, nuanced understanding of context, and strong performance in handling complex, detailed writing projects. It emphasizes safety and helpfulness and is often praised for its natural tone.
Best for: Long-form writing (books, extensive articles), nuanced conversations, and maintaining specific directives over extended interactions.
Perplexity
Strengths: Primarily a research and discovery tool. It is exceptional at providing highly accurate, source-cited answers to complex queries.
Best for: Research-intensive writing, fact-checking, and generating outlines or drafts where factual accuracy and verifiable sources are paramount. It may not be ideal for creative fiction or pure programming tasks compared to the other two.
πŸ’ Recommendations
For long-form writing (books, complex narratives): Claude is generally highly regarded for its ability to maintain context and directives over longer interactions.
For programming tasks: All models have coding capabilities, but Gemini or Claude's advanced models might be more versatile.
For content that needs current facts/sources: Perplexity is the leader for citation-based work.
If specific issues with directives not being maintained are experienced, Claude's interface and underlying model architecture might be better suited to the challenge.
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β“πŸ—¨οΈ What are your AI model experiences and recommendations?
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Wendy Wiseman
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Wrangling the Mangling of Writing with ChatGPT
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