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Update formulas.py
Browse files- formulas.py +5 -10
formulas.py
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@@ -1,3 +1,8 @@
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from prompts import offer_system_prompt
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def create_offer_instruction(avatar_description, product_name, selected_formula_name):
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@@ -76,16 +81,6 @@ SPECIFIC INSTRUCTIONS FOR THIS FORMULA:
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- CUSTOMIZE the hook specifically for this avatar - don't use generic examples
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- The hook MUST address the SAME problem that your promise will solve
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Choose randomly from these statement hooks and CUSTOMIZE for your avatar:
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- "El 83% de los [avatar's profession/role] pierden [specific resource] en [specific activity] que nadie aprovecha."
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- "9 de cada 10 [avatar's field] fracasan en sus primeros 6 meses por este error."
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- "Lo que nadie te dice sobre [avatar's challenge] es que la mayoría fracasa en los primeros 3 meses."
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- "El secreto que [competitors/industry] no quieren que sepas sobre [avatar's goal]."
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- "Tu [avatar's current strategy/approach] está ahuyentando a tus [avatar's desired outcome]."
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- "Mientras algunos [positive outcome], tú sigues [negative current situation]."
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- "La mayoría de [current solutions] son una pérdida total de [resources]."
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- "Hace 6 meses estaba exactamente donde tú estás: [avatar's current struggle]."
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2. MAINTAIN THEMATIC CONSISTENCY:
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- The attention hook, quantifiable promise, and benefit statement MUST all address the SAME problem
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- Create a LOGICAL PROGRESSION from problem (hook) to solution (promise) to implementation (benefit)
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# The function create_offer_instruction remains unchanged
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# Remove the random import since we no longer need it
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# import random
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# Import the system prompt from prompts.py
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from prompts import offer_system_prompt
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def create_offer_instruction(avatar_description, product_name, selected_formula_name):
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- CUSTOMIZE the hook specifically for this avatar - don't use generic examples
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- The hook MUST address the SAME problem that your promise will solve
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2. MAINTAIN THEMATIC CONSISTENCY:
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- The attention hook, quantifiable promise, and benefit statement MUST all address the SAME problem
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- Create a LOGICAL PROGRESSION from problem (hook) to solution (promise) to implementation (benefit)
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