AI workflows
Prompt Engineering glossary
Prompt engineering is how teams turn generic LLM output into repeatable workflows: templates with variables, chained steps for research and drafting, and refinement loops with clear stop rules. This cluster documents the vocabulary we use in the Sych-Tech AI Prompt Library and in production app features.
Quick-definition cards explain terms for internal alignment. In-depth guides cover prompt templates, variables, chaining, meta prompts, and refinement — with notes attributed to Sych-Tech from the public prompt library and shipped app workflows.
Start with a template and three test inputs before scaling prompts across marketing, ASO, and product specs. Link out to runnable prompts on /prompts when you want copy-paste workflows instead of theory alone.
In-depth guides in Prompt Engineering
In-depth guide
Prompt Template
A prompt template is a reusable prompt skeleton with variables — so you run the same workflow with different inputs without rewriting from scratch.
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Prompt Variable
Prompt variables are named placeholders in a prompt — {feature}, {audience}, {platform} — filled in before each run so one template serves many cases.
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Prompt Chaining
Prompt chaining links multiple AI steps — research → outline → draft → critique — where each step consumes the previous output as context.
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Meta Prompt
A meta prompt is an instruction that creates or improves other prompts — useful for building libraries, critiquing drafts, or standardizing team output.
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Prompt Refinement Loop
A prompt refinement loop is a repeatable cycle: run prompt, score output against criteria, adjust one constraint, rerun — until quality is stable.
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Showing 1–15 of 54 terms · page 1 of 4
Prompt Engineering
GuidePrompt Template
A prompt template is a reusable prompt skeleton with variables — so you run the same workflow with different inputs without rewriting from scratch.
Read full guidePrompt Engineering
GuidePrompt Variable
Prompt variables are named placeholders in a prompt — {feature}, {audience}, {platform} — filled in before each run so one template serves many cases.
Read full guidePrompt Engineering
GuidePrompt Chaining
Prompt chaining links multiple AI steps — research → outline → draft → critique — where each step consumes the previous output as context.
Read full guidePrompt Engineering
Prompt Library
Prompt Library is a prompt engineering concept for cataloging approved prompts teams can discover, fork, and version so teams ship consistent AI outputs faster.
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GuideMeta Prompt
A meta prompt is an instruction that creates or improves other prompts — useful for building libraries, critiquing drafts, or standardizing team output.
Read full guidePrompt Engineering
GuidePrompt Refinement Loop
A prompt refinement loop is a repeatable cycle: run prompt, score output against criteria, adjust one constraint, rerun — until quality is stable.
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Prompt Versioning
Prompt Versioning is a prompt engineering concept for tracking prompt changes with labels, owners, and rollback paths so teams ship consistent AI outputs faster.
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Prompt A/B Test
Prompt A/B Test is a prompt engineering concept for comparing prompt variants on live or sampled traffic so teams ship consistent AI outputs faster.
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Role Prompting
Role Prompting is a prompt engineering concept for assigning the model an explicit job role such as editor or analyst so teams ship consistent AI outputs faster.
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Persona Prompting
Persona Prompting is a prompt engineering concept for shaping voice and perspective with a defined character or stakeholder so teams ship consistent AI outputs faster.
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Constraint Prompting
Constraint Prompting is a prompt engineering concept for listing hard limits on length, format, topics, and forbidden behaviors so teams ship consistent AI outputs faster.
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Output Format Prompt
Output Format Prompt is a prompt engineering concept for specifying exact structure for model responses before generation so teams ship consistent AI outputs faster.
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Markdown Output Prompt
Markdown Output Prompt is a prompt engineering concept for requesting headings, lists, and code fences for readable docs so teams ship consistent AI outputs faster.
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JSON Output Prompt
JSON Output Prompt is a prompt engineering concept for demanding valid JSON objects for programmatic consumption so teams ship consistent AI outputs faster.
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Table Output Prompt
Table Output Prompt is a prompt engineering concept for forcing tabular answers for comparison and spreadsheet import so teams ship consistent AI outputs faster.
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AI Prompt LibraryReady-made prompts for product, ASO, mobile, and growth workflows.View product