API-First Distribution Playbook for AI/ML (Pre-Seed Stage)
Step-by-step api-first distribution playbook for AI/ML companies at Pre-Seed. Team: 1-3 people, budget: $0-50K. Implementation steps, KPIs, and expert guidance.
Timeline: 4-8 months
Prerequisites
- ✓ Working MVP with users
- ✓ Analytics infrastructure
- ✓ Team capacity for 4-8 months execution
Step-by-Step Guide
Discovery & Audit phase for api first in ai-ml. Focus on understanding the landscape and planning.
Strategy Design phase for api first in ai-ml. Focus on understanding the landscape and planning.
Initial Implementation phase for api first in ai-ml. Focus on execution and iteration.
Measurement Setup phase for api first in ai-ml. Focus on execution and iteration.
Optimization Cycle phase for api first in ai-ml. Focus on execution and iteration.
Scale & Systematize phase for api first in ai-ml. Focus on execution and iteration.
Expected Outcomes
- ✓ Validated api-first distribution as channel for AI/ML
- ✓ Baseline KPIs established
- ✓ Repeatable process documented
KPIs to Track
- ● API Adoption Rate
- ● Developer Signups
- ● Integration Volume
- ● API Call Growth
Common Mistakes to Avoid
Ehsan's Growth Commentary
Most AI/ML founders over-invest in infrastructure and under-invest in API-First Distribution. My recommendation: spend 80% of your time on the first 20% of activities that drive results. The companies reaching $1M ARR through API-First Distribution all share this pattern.
The first 90 days of API-First Distribution for AI/ML at Pre-Seed: weeks 1-2 audit and baseline, weeks 3-6 first experiments, weeks 7-12 double down on winners. Do not skip the baseline step.
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council