llm proper prompts to form json - SERP Analysis

https://build5nines.com/how-to-write-ai-prompts-that-output-valid-json-data/

https://mychen76.medium.com/practical-techniques-to-constraint-llm-output-in-json-format-e3e72396c670

https://www.reddit.com/r/LocalLLaMA/comments/14zei4q/prompt_engineering_how_to_get_open_source_llms_to/

https://dev.to/rishabdugar/crafting-structured-json-responses-ensuring-consistent-output-from-any-llm-l9h

https://www.youtube.com/watch?v=a9Lhm2-TgQ8

https://stackoverflow.com/questions/77407632/how-can-i-get-llm-to-only-respond-in-json-strings

https://community.openai.com/t/how-to-get-100-valid-json-answers/554379

https://2020machinelearning.medium.com/optimizing-prompt-formats-for-large-language-models-a-comparative-study-of-json-plain-text-and-9e8f58302902

https://community.openai.com/t/best-practices-to-help-gpt-understand-heavily-nested-json-data-and-analyse-such-data/922339

https://python.plainenglish.io/generating-perfectly-structured-json-using-llms-all-the-time-13b7eb504240

https://genai.stackexchange.com/questions/202/how-to-generate-structured-data-like-json-with-llm-models

https://pixion.co/blog/llm-prompt-optimization

https://community.deeplearning.ai/t/passing-json-as-input-to-llm/568893

https://www.ignorance.ai/p/stop-begging-for-json

https://www.promptfoo.dev/docs/guides/evaluate-json/

https://prompttricks.substack.com/p/make-your-llm-output-json

https://pub.aimind.so/prompts-masterclass-output-formatting-json-5-3a5c177a9095

https://www.youtube.com/watch?v=j3VuroS5M04

https://www.profiq.com/lets-make-llms-generate-json/

https://optizenapp.com/ai-prompts/text-prompts-versus-json-prompts/

https://www.boundaryml.com/blog/type-definition-prompting-baml

https://blog.promptlayer.com/how-json-schema-works-for-structured-outputs-and-tool-integration/

https://www.modular.com/ai-resources/advanced-prompt-engineering-with-structured-json-optimizing-llm-interactions

https://github.com/imaurer/awesome-llm-json

https://isthisit.nz/posts/2023/prompting-gpt-models-to-return-json/

https://www.youtube.com/watch?v=uBaJATUinN8

https://arxiv.org/html/2411.10541v1

https://www.youtube.com/watch?v=A6sIh-lmApk

https://docs.snorkel.ai/docs/25.5/user-guide/evaluation/create-llmaj-prompt/

https://www.youtube.com/watch?v=XGCWyfA3rgQ

https://github.com/microsoft/teams-ai/issues/1130

https://community.n8n.io/t/get-consistent-well-formatted-markdown-json-outputs-from-llms/80749

https://www.youtube.com/watch?v=lUoCPXYS9AU

https://www.lamini.ai/blog/guarantee-valid-json-output-with-lamini

https://docs.literalai.com/guides/playground

https://haystack.deepset.ai/tutorials/28_structured_output_with_loop

https://glaforge.dev/posts/2024/11/18/data-extraction-the-many-ways-to-get-llms-to-spit-json-content/

https://hackernoon.com/for-best-results-with-llms-use-json-prompt-outputs

https://docs.sensible.so/docs/prompt

https://microsoft.github.io/promptflow/how-to-guides/develop-a-prompty/prompty-output-format.html

https://www.pedroalonso.net/blog/llm-prompting-techniques-developers/

https://www.linkedin.com/posts/futuristkeynotespeaker_prompt-formatting-can-have-a-dramatic-impact-activity-7268935635711729664-XnDo

https://www.codesmith.io/blog/mastering-llm-prompts

https://www.madronavl.com/stories/optimizing-prompt-systems---getting-it-to-do-what-you-mean

https://cran.r-project.org/web/packages/tidyprompt/vignettes/getting_started.html

https://docs.anthropic.com/en/docs/test-and-evaluate/strengthen-guardrails/increase-consistency

https://atamel.dev/posts/2024/07-15_control_llm_output/

https://saeedesmaili.com/notes/fuck-you-show-me-the-prompt/

https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Discussions/Optimize-json-format-when-connecting-to-LLM/td-p/1340668

https://llm-exe.com/examples/concepts/working-with-json.html

https://www.leeboonstra.dev/prompt-engineering/prompt_engineering_guide3/

https://modelmetry.com/blog/how-to-ensure-llm-output-adheres-to-a-json-schema

https://docs.dify.ai/en/learn-more/extended-reading/how-to-use-json-schema-in-dify

https://www.hopsworks.ai/dictionary/prompt-engineering

https://smythos.com/docs/agent-studio/components/legacy/llm-prompts/

https://www.llama.com/docs/model-cards-and-prompt-formats/llama3_1/

https://knowledge.dataiku.com/latest/gen-ai/text-processing/tutorial-prompt-engineering.html

https://docs.mistral.ai/guides/prompting_capabilities/

https://simmering.dev/blog/one-stop-nlp/

https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/json-mode

https://www.toolify.ai/ai-news/optimize-json-data-for-costefficient-and-accurate-llm-prompts-2851972

https://www.tomsquest.com/blog/2024/08/get-structured-output-from-llm-using-baml/

https://developer.chrome.com/docs/ai/structured-output-for-prompt-api

https://www.aiboosted.dev/p/llm-chain-with-structured-json-output

https://www.promptingguide.ai/risks/adversarial

https://aws.amazon.com/blogs/machine-learning/prompt-engineering-techniques-and-best-practices-learn-by-doing-with-anthropics-claude-3-on-amazon-bedrock/

https://www.researchgate.net/figure/A-prompt-designed-for-an-LLM-that-specifies-a-format-for-JSON-output_fig3_384780661

https://ai.google.dev/gemini-api/docs/structured-output

https://python.langchain.com/docs/how_to/output_parser_json/

https://faktion.com/blog/guided-text-generation-with-large-language-models/

https://news.ycombinator.com/item?id=37125118

https://hamel.dev/blog/posts/prompt/

https://incident.io/building-with-ai/optimizing-llm-prompts

https://www.vellum.ai/llm-parameters/json-mode

https://ubiai.tools/ensuring-consistent-llm-outputs-using-structured-prompts-2/

https://www.evidentlyai.com/llm-guide/llm-as-a-judge

https://vladris.com/llm-book/prompt-engineering.html

https://docs.airops.com/building-workflows/workflow-steps/ai-steps/llm

https://structuredprompt.com/

https://thoughtbot.com/blog/get-consistent-data-from-your-llm-with-json-schema

https://pydantic.dev/articles/llm-intro

https://datachain.ai/blog/enforcing-json-outputs-in-commercial-llms

https://docs.honeycomb.io/send-data/llm/text-to-json-quickstart/

https://www.freecodecamp.org/news/how-to-write-effective-prompts-for-ai-agents-using-langbase/

https://spring.io/blog/2025/04/14/spring-ai-prompt-engineering-patterns/

https://cohere.com/llmu/constructing-prompts

https://portkey.ai/docs/product/prompt-library/prompt-templates

https://cloud.google.com/vertex-ai/generative-ai/docs/prompt-gallery

https://docs.together.ai/docs/json-mode

https://docs.ai21.com/docs/prompt-engineering

https://www.astera.com/type/blog/prompt-engineering-best-practices/

https://simonwillison.net/2025/Mar/11/using-llms-for-code/

https://llm.datasette.io/en/stable/usage.html

https://mirascope.com/blog/langchain-prompt-template

https://www.strac.io/blog/secure-sensitive-data-in-llm-prompts

https://docs.llamaindex.ai/en/stable/examples/llm/openai_json_vs_function_calling/

https://www.linkedin.com/posts/ashleigh-stearn_how-to-prompt-your-llm-steps-inside-your-activity-7255554475879235586-KLi7

https://www.redhat.com/en/blog/tips-for-gen-ai-prompts

https://blog.kusho.ai/from-chaos-to-order-structured-json-with-pydantic-and-instructor-in-llms/