SkillSwap - Neighborhood Skill Exchange

Model: mistralai/mistral-large
Status: Completed
Cost: $0.804
Tokens: 161,479
Started: 2026-01-05 00:17

Analysis Provenance

Project Name SkillSwap - Neighborhood Skill Exchange
Generated At 2026-01-05 00:52:24 UTC
AI Model mistralai/mistral-large
Execution Mode Sequential
Total Time 35m 16s
Tool Version VenturePulse v2.0

Cost Breakdown

Section Tokens Cost (USD)
01. Executive Summary 14,822 $0.066
02. Market Landscape 34,411 $0.170
03. User Stories 29,110 $0.149
04. Comparable Companies 26,316 $0.131
05. User Research 26,907 $0.136
06. Validation Experiments 29,913 $0.152
07. Technical Feasibility 0 $0.00
08. Competitive Advantage 0 $0.00
09. Business Model 0 $0.00
10. Legal & Compliance 0 $0.00
11. MVP Roadmap 0 $0.00
12. Customer Journey 0 $0.00
13. Go-to-Market 0 $0.00
14. Partnerships 0 $0.00
15. Expansion Plan 0 $0.00
16. Success Metrics 0 $0.00
17. Funding Strategy 0 $0.00
18. Exit Strategy 0 $0.00
19. Pitch Narrative 0 $0.00
TOTAL 161,479 $0.804

Failed Sections (13)

Section Error
07. Technical Feasibility Unexpected error: 'int' object has no attribute 'lower'
08. Competitive Advantage Unexpected error: 'int' object has no attribute 'lower'
09. Business Model Unexpected error: 'int' object has no attribute 'lower'
10. Legal & Compliance Unexpected error: 'int' object has no attribute 'lower'
11. MVP Roadmap Unexpected error: 'int' object has no attribute 'lower'
12. Customer Journey Unexpected error: 'int' object has no attribute 'lower'
13. Go-to-Market Unexpected error: 'int' object has no attribute 'lower'
14. Partnerships Unexpected error: 'int' object has no attribute 'lower'
15. Expansion Plan Unexpected error: 'int' object has no attribute 'lower'
16. Success Metrics Unexpected error: 'int' object has no attribute 'lower'
17. Funding Strategy Unexpected error: 'int' object has no attribute 'lower'
18. Exit Strategy Unexpected error: 'int' object has no attribute 'lower'
19. Pitch Narrative Unexpected error: 'int' object has no attribute 'lower'
Disclaimer: This analysis was generated by AI and should be used as a starting point for decision-making, not as definitive business advice. Always validate assumptions with real market research and domain experts.