Which AI development platform or framework are you primarily using today? OpenAI / GPT-based Anthropic (Claude) LangChain or Flowise Building custom LLM stack (open-source models + vector DBs) Curious to hear what’s working best for your team, especially around cost, speed, and integration flexibility.

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VP of AI Innovation in Softwarea month ago

Don't hook on the bots - use whichever works. For example, you can convert your idea into the base prompt using ChatGPT, then toss it to Cursor and create a whole workspace, and Figma to build UX. then run Perplexity to compare the function of resulting to competitors - then flush the discussion on what went right and wrong through Claude, and have its output feed the sequence prompt on ChatGPT.

But obviously, this is about the process, not the tools! You need to perfection your use of semantics and size of tokens used to produce ROI-impacting value.

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Chief Product Officer in IT Services2 months ago

We are using Liminal for wider access to all the major models for internal team use needs as it comes with the data masking / protection, access controls that understand our org, and the observability required for compliance. This was a choice to buy vs. build. While there is customization, YMMV with the Low-Code / No-code vs. SDK vs API allowances. For everything else, it depends on the use cases.

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Chief Product Officer2 months ago

We are using Vectara, as it provides full transparency, integration flexibility, and is optimized to prevent, detect, and correct hallucinations.

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Which AI development platform or framework are you primarily using today? OpenAI / GPT-based Anthropic (Claude) LangChain or Flowise Building custom LLM stack (open-source models + vector DBs) Curious to hear what’s working best for your team, especially around cost, speed, and integration flexibility. | Gartner Peer Community