A new paradigm for user interfaces is starting to take shape with the rise of AI powered tools. Rather than a loop of sending a command, receiving the output, and continuing (like graphical user interfaces), an intent-based outcome specification is telling the computer what the outcome should be—“open the door” instead of “check auth, unlock, open latch, extend door”.
This has many challenges (chatbots lack affordances), especially because many people are not articulate enough to describe what they want. AI can help interpret vague language, but designers will need to develop patterns for refinement (maybe by mashing up other UI paradigms).
Read AI: First New UI Paradigm in 60 Years.
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Outcome-based pricing (or result-based pricing) is becoming popularized again due to services powered by artificial intelligence that are enable intent-based outcome specification. That means charging per unit of value which is the desired outcome.
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Several startups are touting AI employees that you can hire to perform a specific function. Itercom announce Fin, an AI customer service agent and so did Maven AGI. Piper is an AI sales development representative, so is Artisan and 11x. Devin is a software engineer.
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Summarization With Chain of Density
A recent paper studied text summarization improvements using a chain of density prompt. The prompt improves over vanilla GPT responses and is close to human summarizations in informativeness and readibility.
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An AI agent is an intent-based abstraction that combines LLMs to plan and take action in order produce a desired goal.