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Glossary

Recursive prompting

What is Recursive prompting?

Recursive prompting refers to techniques in which a language model's output is fed back in as new input – for instance to have a draft reviewed and revised, or to break a large task down step by step into subtasks. For example, a draft proposal is produced first, the model then assesses it against a checklist, and finally it is improved. This often raises quality but costs extra processing time and needs a clear stopping criterion.

How KI.ordo helps

In KI.ordo flows this can be modelled by having one AI step create a draft and a following step review and revise it.

Learn more →: Recursive prompting

Topics

  • prompting
  • revision
  • workflow

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Related terms

Prompt

A prompt is the input that tells an AI model what to do – a question, a task or an instruction, often supplemented with context, examples and the desired format. The quality of the answer depends heavily on how clear and complete the prompt is. For example, rather than “Write something about our product”, use “Write three short benefits of product X for trade businesses, in a factual tone”.

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Model chaining

Model chaining means connecting several AI models or AI steps in sequence so that the output of one step becomes the input of the next. Complex tasks can thus be broken down into manageable sub-tasks that can be checked and improved individually. Example: one step summarises a customer enquiry, a second assigns it to a department and a third drafts the reply.

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Metaprompt

A metaprompt is an instruction that asks a language model to draft or improve prompts or system instructions itself. You describe the goal, audience and desired tone and supply examples; the model then produces structured instructions with a role, rules and limits. This yields good first versions faster, which are then tested and refined by people. Example: “customer service for a bicycle shop” becomes a complete draft set of instructions.

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  • +1
Template

Multi-hop reasoning

Multi-hop reasoning is an AI system’s ability to answer a question through several successive inferences, often combining information from different sources. Example: “Which department is headed by the person responsible for project X?” first requires identifying the responsible person and then their department. Such questions are demanding for search and RAG systems because every intermediate step must be found and linked correctly.

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  • +1