STRIKE-01

AI Product Integration

From 'we should add AI' to deployed and working within your own product — in two weeks.

$20,000sprint2 weeks

[ WHO IS THIS FOR ]

CTO or lead engineer at a post-Series A or mid-market company that has an LLM feature ready to build but lacks the internal capacity or expertise to execute it in the near term.

You need this when:

LLM feature is on the roadmap but the team is at capacity
Internal team has tried to build the feature and stalled
Investor or board demo is coming and the AI feature needs to be real
Need to prove LLM value quickly before committing to a larger AI team buildout
Specific LLM integration is blocking other product work

[ ROI FRAME ]

RETURN ON INVESTMENT

Hiring a senior AI engineer to build this feature costs $200K+/year, takes 3-6 months to hire, and requires ongoing management. At $20,000, a focused sprint delivers the specific feature and ships it.

WHAT YOU GET

Working, deployed LLM integration in your production environment
Clean, documented, tested code submitted via pull request
Architecture documentation for the integration
Monitoring and observability setup
Cost projection for ongoing LLM API spend
60-minute live handoff call
14 days of post-delivery email support

WHAT YOU PROVIDE

Feature requirements and acceptance criteria
Repository access with staging environment and CI/CD setup
Engineering point of contact for technical questions
API keys and credentials for relevant services
Test data or test environment

[ CALENDAR ]

Scheduling happens after purchase. We will reach out within 1 business day to coordinate times.

Scoping Call30 minDay 1

Architecture Checkpoint15 minDay 3

Handoff Call60 minDay 10 (delivery)

[ ALTERNATIVES ]

Staff augmentation agency ($15K–$40K/month, less focused)
Hire a full-time AI engineer (6-12 month process)
No-code AI platform (limited customization, vendor lock-in)
Internal team builds it (already at capacity, 2-4 month delay)