
Remember when smartphones first came out? Many of us were hesitant to immediately adopt what seemed like an expensive new gadget. The rise of generative AI products, like ChatGPT, has felt similar – promising yet buggy, powerful yet risky.
But while GenAI still warrants thoughtful caution, adoption is starting to feel more inevitable than optional. Issues around bias and misinformation absolutely require ongoing vigilance. Yet the sheer magnitude of productivity gains and cost savings GenAI tools can unlock has made the leap into trying GenAI a little more appealing. Here’s what we learned from 1,500+ testers across 20+ teams about GenAI:
What early adopters say: “GenAI is amazing! You just prompt it and it produces magic! This changes everything.”
What others say: “I don’t know where to begin. When I try it, I don’t get the results I want. And I don’t know if I can trust the results. I don’t get it.”
Teach users how to identify GenAI use cases, how to write prompts (aka “prompt engineering”), and how to customize AI through prompt instructions.
Create systems that suggest use cases, provide customized AI for those use cases, and reduce the need for prompt engineering.
At BoodleBox, we started with the first approach: bringing people to AI by teaching use cases, prompt engineering, and prompt instructions. We saw adoption and usage numbers that were … disappointing.
So we decided to flip the paradigm and created a platform that:
suggests use cases
includes 900+ curated AI Helpers for specific use cases and roles
✅ autorecommends AI Helpers to users based on their prompts
enables AI Helpers to prompt users to produce the results they want without the need for prompt engineering
If you’re interested in trying out BoodleBox and collaborating with 900+ bots from different LLMs that work together and prompt you, sign up for free today.
Learn more about the ins and outs of the BoodleBox workspace from our team of experts.
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