Brainforge <> Magic Spoon
Date: February 18, 2026 Source: Granola Meeting ID: 72fb5c1f-67c4-4a6d-a5db-5dfe20522649 URL: https://notes.granola.ai/t/72fb5c1f-67c4-4a6d-a5db-5dfe20522649
Participants:
- Uttam Kumaran (Brainforge)
- Mary (Magicspoon)
- Josh (Magicspoon)
- Michael Thorson (Magicspoon)
- Demilade Agboola (Brainforge)
Summary
Budget and Scope Realignment
- Magic Spoon’s $25k/month budget significantly exceeds their capacity
- Initial December scope expanded beyond light DBT fixes and vendor transition to include:
- Additional SPINS modeling and ingestion requirements
- Comprehensive Shopify modeling review (bundles, revenue model changes)
- New data sources (Confido, potential retail sources)
- Platform maintenance with tight SLA commitments
- Brainforge’s pricing reflects 3-person team commitment for maintenance + net new development
- Inheriting large repo with 5,000+ DBT models requires cautious approach
- Half of current repo likely stale and needs archiving
Revised Partnership Approach
- Rescoped to $15k/month for 3-month contract (Brainforge prefers fixed terms over hourly/monthly)
- Priority focus areas:
- Platform reliability and vendor transition
- Data quality monitoring with fast incident response
- Retail data sources integration (biggest potential budget unlock)
- Deprioritized items:
- Omni AI dashboard building (Magic Spoon can handle internally)
- Net new dashboards
- Confido integration (roadmap item, not immediate need)
- Partnership model: embedded team providing daily infrastructure oversight, API monitoring, and expertise access
Next Steps
- Uttam/Demilade: Deliver revised SOW by end of day today/early tomorrow
- Scope platform reliability requirements and time allocation
- Pace remaining budget across 3 months for SPINS/MMM work
- Mark removed scope items clearly
- Mary: Identify deprioritizable items in current scope
- Demilade: Follow up on Slack about DBT seeds configuration for MMM models
- Roland: Run dbt build seeds to resolve failing MMM model runs