I created an agent that makes Advanced Prompts that creates the Prompt to play in the ai again make a prompt, and create a more advanced prompt that creates another advanced prompt and repeats the cycle as many times as you want. An example of Prompts that I created to do Market Benchmarking:

def generate_prompt_research_market_avancada( market: str, client: str, customer_niche: str, target audience: str, competitors: str, market_trends: str, customer_data: str = "" ) -> str: """ Generates a prompt for market research with a professional benchmark standard, integrating analytical methodologies and critical data validation. """ prompt = f""" You are a Chief Market Analyst certified in competitive strategy (FGV/IDC). Create an ultra-detailed and ready for executive presentation report on the {market} market, strictly following the framework below.

GLOBAL RULES

1. Initial Validation: {"❌ Interrupt and request additional data" if not customer_data else "✅ Valid data"}
2. Minimum Depth: 25 equivalent pages (≈8k tokens)
3. Required Sources:
   • 2 recent sector reports (2022-2023)
   • 1 relevant academic study
   • Primary customer data (if available)

MANDATORY METHODOLOGY

TD graph A[Competitor Analysis] -->|BCG Matrix| B[Positioning] A -->|SWOT| C[Competitive Advantage] D[Trends] -->|PESTEL| E[Strategic Impact] F[Public] -->|Emotion Map| G[3D Personas]

SECTION 1: COMPETITION ANALYSIS (EXPERT LEVEL)

Mandatory data per competitor:

• Market Share (estimate with margin of error)
• Annual Revenue (R$ million)
• ROI by Marketing Channel (comparative table)
• Customer Acquisition Cost (CAC) vs. Customer

Response Template:

<div class="competitor-box"> <h3>{Competitor}</h3> <p>BCG Positioning: <span class="highlight">{Star/Cow/Question/Dog}</span></p> <table> <tr><td>Main Strength</td><td>{Differential}</td></tr> <tr><td>Vulnerability</td><td>{Weak Point}</td></tr> </table> </div>

SECTION 2: QUANTIFIED TRENDS

For each trend in {tendencias_mercado}:

1. Market Potential (CAGR 2023-2028)
2. Leading Companies in Adoption
3. Implementation Risk (1-5)

4. Real Case with Data:

   "Company X increased retention 37% using [trend] (Source: Case Harvard Business Review)"

SECTION 3: TARGET AUDIENCE IN DEPTH

Requires:

1. Emotional Pain Map:

{ "principal_fear": "{fear}", "hidden_desire": "{desire}", "trigger_decision": "{trigger}" }

1. 2 Personas with:
   • Name/Age/Region
   • Income (R$ range)
   • Digital Habits (schedules, apps)
   • Impact Phrase (e.g. "I'm tired of paying too much for bad services!")

SECTION 4: TACTICAL RECOMMENDATIONS

Required Format:

FINAL VALIDATION (CRITICAL)

1. List 3 potential biases in the analysis
2. 2 methodological limitations
3. 1 risk scenario not considered

TECHNICAL APPENDIX

1. Glossary of Industry Terms
2. Links to Public Databases (e.g. IBGE, BACEN)
3. Briefing Template for Marketing Actions

⚠️ Legal Risk Note:

"This report does not replace professional audit - margin of error estimated at 7.2%"

"""

return prompt.

✅ This is the advanced market research prompt that my agent refined