AI Sprint: Production AI in 10 Days
For SaaS, AI products, and web‑first businesses that need one real AI feature live in production—not another demo. In 10 days you get a working LLM feature with human-feeling UX, safety guardrails, analytics, and Core Web Vitals targets agreed upfront.
Ready to get started?
- One-session scoping
- Start shipping fast
- Full code ownership
Why Choose This Service
Production-Ready
Live feature that handles real user requests—not another prototype stuck in demo mode
- Working feature in staging or production
- Streaming UX that feels responsive
- Guardrails that prevent bad outputs
- Analytics hooks wired into your stack
Safety First
Built-in protection so your brand stays safe when AI is live
- Rate limiting to prevent abuse
- PII and content moderation filters
- Prompt injection protection
- Audit logs for compliance
Measurable
Track how the AI performs with real users so you can iterate based on data
- User satisfaction tracking
- Response time and latency metrics
- Error rate monitoring
- Dashboards for your team
Performance/SEO
AI features that don't slow your site or break search rankings
- No Core Web Vitals regressions
- Image and code size budgets
- JSON-LD and meta tags intact
- Index cleanly for SEO
Who this sprint is for
If you're a founder, CTO, or product lead with an AI feature stuck in prototype purgatory—or no capacity to ship it safely—AI Sprint gives you one production-ready AI business solution in 10 days. At the end of the sprint, you have a live feature in staging or production, realistic test data, and tracking in place so you can see how it performs with real users.
How It Works
We scope, build, test, and ship in 10 days—no meetings marathons, just focused execution. See AI implementation case studies or start your AI sprint today.
Days 1–2: Scope & Design
Define the AI feature, success criteria, and conversation patterns.
- Feature scope and acceptance criteria
- User flow and LLM provider selection
- Design streaming UX patterns
Days 3–6: Build & Iterate
Implement the feature with proper UX, guardrails, and analytics.
- Streaming chat UI with loading states
- Safety guardrails and content moderation
- Analytics integration and monitoring
Days 7–9: Test & Polish
End-to-end testing, performance optimization, and knowledge transfer.
- Realistic scenario testing
- Performance optimization and error handling
- Documentation and team handoff
Day 10: Ship & Handoff
Deploy to staging, review acceptance criteria, and prepare for production.
- Deploy to staging with observability
- Final acceptance review and sign-off
- Production deployment plan
Acceptance Criteria
- Live in staging with realistic data
- ≥95% happy-path success rate
- No performance regressions (LCP, TBT, CLS)
- SEO unchanged or improved
- Full documentation and handoff
Related Case Studies
Sabrina AI — AI-powered website
Ready to start?
Scope it in one session. We'll align on success and ship a working slice.