Transform rough ideas into execution-ready prompts.
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Everyone has access to the same AI.
Not everyone gets the same results.
The gap isn't effort. It isn't intelligence.
It's translation.
Humans think in goals.
AI thinks in structure, constraints, and precision.
That mismatch causes frustration and disappointment.
YEP sits in the middle.
A translator between you and AI.
We turn your intent into instructions AI can follow perfectly.
You bring the vision.
We handle the architecture.
AI delivers.
What was missing
- •Structure, audience, scope; added numbered list format for professionals with clear boundaries
- •Actionable strategies, evidence; specified 5-8 ranked techniques with research citations
- •Implementation details; included prompt templates, pitfalls, and verification checklist
What was added
- •Research-backed impact metrics
- •Copy-paste prompt templates
- •Ease/pitfalls analysis and ranking
What you'll get
- •5-8 ranked anti-hallucination strategies
- •Prompt templates with before/after examples
- •Verification checklist for errors
Guide to Avoiding LLM Hallucinations in Professional Work
Create a comprehensive guide for professionals using LLMs (GPT, Claude, Gemini) at work to prevent hallucinated responses. Structure as a numbered list of 5-8 actionable strategies, from simple to advanced. Target text-based tasks like reports and analysis; keep each under 5 minutes per query. No paid APIs or specialized tools needed.
For each strategy:
- Name it (e.g., Chain-of-Thought, Output Contracts, Few-shot examples, RAG grounding, Self-consistency).
- Explain how it cuts hallucinations, citing research (e.g., OpenAI/Anthropic studies) with impact metrics (e.g., "cuts factual errors by 70%").
- Give a copy-paste prompt template with before/after examples demonstrating reduction.
- Note implementation ease and key pitfalls (e.g., vague prompts, skipping verification).
Rank strategies by impact vs. effort, drawing from peer-reviewed sources and official docs.
End with a verification checklist for factual, logical, and contextual errors.
Use a clear, professional tone.
Why it works
AI is optimized to give you a "good enough" answer as fast as possible. That's fine for simple questions. But for real work (analysis, strategy, research) you need more than pattern-matching.
YEP prompts include verification steps, structured constraints, and explicit output requirements. This forces AI to reason carefully, not just guess quickly.
The result: answers you can actually use.
See YEP in Action
Browse real optimization examples • Use arrow keys to navigate
What was missing
- •Estructura y formato del correo; agregó estructura detallada con asunto, saludo, cuerpo y despedida
- •Detalles específicos (fechas, tono, longitud); especificó placeholders, límites de palabras y tono formal
- •Instrucciones de personalización; añadió placeholders y guía final de uso
What was added
- •Regla 3C (claro, conciso, cortés) como guía de tono
- •Límites medibles: 60 caracteres asunto, 150 palabras cuerpo
- •Estructura jerárquica con headers y numeración de párrafos
What you'll get
- •Correo completo listo para copiar/pegar
- •Placeholders para personalización fácil
- •Instrucciones breves de adaptación
Correo Profesional: Reprogramación de Reunión
Contexto: Solicitar cambio de fecha/hora por conflicto de agenda imprevisto.
Estructura:
- Asunto: Claro y conciso (mán. 60 caracteres), ej. "Propuesta de nueva fecha para nuestra reunión del [fecha]".
- Saludo: "Estimado/a [Nombre del cliente],".
- Cuerpo (mán. 150 palabras, 3 párrafos):
- Explica brevemente el motivo del cambio de forma positiva y profesional.
- Propón 2-3 opciones concretas de nuevas fechas/horas.
- Incluye llamada a acción: "Quedo a la espera de su confirmación".
- Despedida: "Atentamente," seguida de [Tu nombre], [Tu cargo], [Contacto].
Usa tono formal, cortés y neutro (lenguaje RAE, usted, enfocado en soluciones). Aplica regla 3C: claro, conciso, cortés. Evita jerga, emojis o anglicismos.
Entrega el correo completo listo para copiar/pegar, con instrucciones breves de personalización al final.