Generative AI is a type of artificial intelligence that can create new content such as text, images, audio, or code. In Activepieces, generative AI is integrated into flows by connecting to models like GPT, enabling users to generate summaries, draft content, or produce creative outputs as part of their automations.
Generative AI refers to systems built on machine learning models that are trained to produce new data rather than just analyze existing data. Unlike predictive AI, which forecasts outcomes based on patterns, generative AI takes input prompts and creates original responses.
The most well-known form of generative AI is based on large language models (LLMs). These models are trained on massive amounts of text and can generate coherent sentences, paragraphs, or even full documents in response to a prompt.
Beyond text, generative AI also powers systems that create realistic images, compose music, or design code.
The concept has become mainstream with tools like GPT from OpenAI, Claude from Anthropic, and Stable Diffusion for image generation. Generative AI is transforming industries by making it easier to produce creative and analytical work at scale.
In Activepieces, generative AI is accessible within flows. Users can send prompts to a model, capture the generated output, and use it to power subsequent actions, such as sending an AI-generated summary to Slack or drafting a personalized email reply.
Generative AI works by learning patterns from large datasets and then producing new data that fits those patterns. The process typically involves:
In Activepieces, this cycle is embedded in automation. Data from a trigger, such as a new email or survey response, is inserted into a prompt and sent to a generative AI model. The generated output is then used in actions like sending notifications, saving to a database, or replying to customers.
Generative AI is important because it allows machines to take on tasks that traditionally required human creativity or reasoning. Businesses can scale content creation, streamline communication, and analyze data more effectively.
The main reasons it matters include:
For Activepieces, generative AI elevates automation. Instead of only moving data between systems, flows can now create meaningful content as part of their execution. This allows businesses to combine structured automation with intelligent content creation.
Generative AI is widely applied across industries and functions. Common examples include:
In Activepieces, these use cases become practical with flows that integrate prompts, generative models like GPT, and downstream actions such as sending messages, storing results in Tables, or triggering follow-ups.
Generative AI is artificial intelligence that creates new content, such as text, images, or audio, in response to prompts. Instead of only analyzing data, it produces original outputs.
Businesses use generative AI to speed up tasks like drafting emails, summarizing reports, or creating marketing content. It helps teams scale their output while maintaining quality and personalization.
Activepieces connects to generative AI models like GPT and Claude within flows. Users can send prompts to these models, capture the generated output, and integrate it directly into their automations. This makes it possible to create intelligent, content-producing workflows without writing code.
