Bivy

Bivy

AI, artificial intelligence, AI assistant, AI chatbot, multi-model AI, AI tools, productivity, SaaS, AI for writing, AI for research, AI image generation, AI for coding, ChatGPT alternative, Claude al

AI & Machine Learning

About

Bivy is a single AI interface that gives you every major AI model under one clean home. Instead of paying for ChatGPT, Claude, Gemini, and countless more separately and trying to remember which one is best for the task in front of you, you just type your question into Bivy. The right AI gets picked for you automatically, so you get a strong answer without having to think about which model to ask.

Bivy is built for everyday AI users. Startup founders who lean on AI all day to draft emails, build pitch decks, and design logos. Entrepreneurs and small business owners juggling marketing, customer outreach, and operations. Marketers, consultants, agency staff, and other knowledge workers whose personal AI use looks a lot like their work AI use. And just as importantly, casual users who know AI is powerful but have no interest in learning which model is best at coding versus which is best at writing. Bivy makes that decision for them.

Once an answer comes back, refinement happens without leaving the chat. Three built-in buttons let you ask a different AI for a fresh take, have a separate AI review the response for accuracy, or send the prompt to a more advanced model for a deeper result. No model names to remember. No agents to configure. Just better answers with one click.

Bivy goes beyond chat. It can produce real deliverables on the spot: PDF reports, Word documents, Excel spreadsheets, and PowerPoint presentations. It generates images, analyzes uploaded files, and returns research with proper citations when accuracy matters.

The bigger idea behind Bivy is simple. Nobody should have to keep up with the AI race to benefit from it. New models launch every week, and most people will never have time to test them, compare them, or decide which subscription is worth paying for. Bivy does that work in the background so users can focus on what they're trying to get done.

Named after the bivy sack, a piece of gear known for doing one job well in tough conditions. Built with the same idea.

AI. Simplified.

PricingFree
LaunchedAug 24, 2026

Publisher

Joined May 20261 launch

Comments

1
  • user-snv1x9
    user-snv1x9Maker· 4mo ago

    Stop picking between AI models. Start getting better answers. Bivy automatically picks the best AI for every prompt, all in one subscription.

Ready to launch?

Submit your product and get discovered by builders and creators worldwide.

Launch Now

FounderPlaybooks.

What other founders did to grow.

2722 dispatches from hundreds of founders, pulled from the week's best podcasts.

Shipping
we actually ripped out all the localization infrastructure we built our own GitHub action and there's like a thin library which just extracts the strings or wraps all the strings and then each time we make a PR to our repo it just sends it with like a prompt per language about the localization guide and that means we're able to localize like way cheaper and much faster

Replace expensive localization SaaS with a GitHub Action and LLM prompts

ElevenLabs was paying an agency and an expensive SaaS for localization until engineers noticed that ChatGPT consistently produced better translations. They replaced everything with a GitHub Action: on every PR, a thin wrapper extracts strings and sends them through a per-language LLM prompt. The result is faster, cheaper, and more natural-sounding copy — making full localization of ads and app store listings practical for any team.

Onboarding
we also made it possible to generate your own cursor rules tailored to your website in JavaScript you have this package JSON which defines all your dependencies you could just upload that and then you get your defined cursor rules back... developers wanted to tailor their cursor experience but they didn't know how to start this was a good way for developers to get the grasp of it all

Solve First-Visit Cold-Start By Generating Personalised Output From Whatever The User Uploads

They added a personalization tool where developers upload their package.json and get back custom cursor rules matched to their dependencies. This solved the 'don't know where to start' cold-start problem for first-time visitors and gave them immediate, personal value before asking for anything — turning a directory into a tool on the first click.

There's a play for whatever you're stuck on.

Read all 2722 playbooks