AI Sprint: Production AI in 10 Days
Ship a working LLM feature with streaming UX, guardrails, and analytics—fast.
Ready to get started?
- One-session scoping
- Start shipping fast
- Full code ownership
Why Choose This Service
Production-Ready
No prototypes—ship real features
- No prototypes
- Streaming UX
- Guardrails
- Analytics hooks
Safety First
Built-in protection from day one
- Rate limiting
- PII/abuse filters
- Prompt injection protection
- Audit logs
Measurable
Track what matters
- User-centric quality metrics
- Response-time tracking
- Satisfaction tracking
- Dashboards
Performance/SEO
Fast and discoverable
- No CWV regressions
- Image/code budgets
- JSON-LD intact
- Index cleanly
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.