"Not too long ago, to build a virtual personal assistant, you needed: A custom natural language processing (NLP) model trained on domain-specific data Backend infrastructure to handle conversations, intents, and entities Multiple third-party integrations to enable voice, logic, and task handling DevOps support to deploy and scale it across platforms Think Siri or Alexa. Massive systems built by teams of researchers, engineers, and data scientists over years."
"Fast forward to today, and things look very different. All courtesy of AI technology. With tools like ChatGPT, creating a virtual assistant no longer requires writing thousands of lines of code or understanding transformer models. You can: Design conversations with natural language prompts Integrate your assistant into apps, websites, or workflows using easy-to-use APIs Customize its behavior with simple instructions"
Building virtual personal assistants previously required custom NLP models, backend conversation infrastructure, multiple integrations, and significant DevOps support. Modern AI tools like ChatGPT remove many technical barriers and simplify assistant creation. Designers can craft conversations using natural language prompts, integrate assistants into apps and workflows via accessible APIs, and modify assistant behavior through simple instructions. One straightforward method is to instruct ChatGPT directly to act as an assistant by opening chat.openai.com, sending a direct instruction, and using the resulting responses for tasks such as setting reminders and managing simple workflows.
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