AI & LLM Integration
GPT, Claude, Gemini, and open-source LLM integrations. RAG architecture, fine-tuning, vector databases, and enterprise AI solutions.
Concrete Deliverables
- Use-case assessment and model selection matrix
- RAG, vector database, or LLM integration prototype
- Security, prompt injection, and data leakage controls
- Cost, quality, and latency monitoring setup
Typical Timeline
Discovery
Week 1Goals, current state, risks, and success criteria are clarified.
Architecture
1-2 weeksTechnical approach, tool choices, scope, and delivery plan are prepared.
Implementation
2-8 weeksSprint-based build, demo, testing, and improvement cycles are executed.
Handover
1 weekProduction rollout, documentation, and team knowledge transfer are completed.
Engagement Model
- Fixed-price project for clearly scoped work
- Monthly retainer for ongoing improvement and consulting
- Embedded mentoring or CTO-as-a-Service model with your team
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Let's Discuss Your Project
The initial assessment meeting is free. Let's evaluate your technical needs together.