AI Integration — Practical AI that fits your product.
LLM features, retrieval-augmented workflows, and automation—implemented responsibly with clear guardrails.
Senior-led delivery
All services · Clear scope, demos, and QA at every step.
- 01Use cases — ROI, risk, and data boundaries.
- 02Prototyping — Spikes and benchmark prompts.
- 03Production — APIs, caching, and fallbacks.
- 04Iterate — Metrics, tuning, and roadmap.
What you get
A focused engagement playbook—clear outcomes, steady communication, and quality checkpoints from kickoff to launch.
LLM features, retrieval-augmented workflows, and automation—implemented responsibly with clear guardrails.
Included outcomes
- OpenAI & custom model integration
- RAG pipelines and embeddings
- Prompt design & evaluation
- Privacy, logging, and cost controls
Key features
Concrete deliverables we bring to every roadmap—mapped to your stack and release cadence.
OpenAI
custom model integration—core capability for this engagement.
RAG pipelines and embeddings
Shipped with demos, documentation, and QA sign-off so your team can iterate with confidence.
Prompt design
evaluation—core capability for this engagement.
Privacy, logging, and cost controls
Shipped with demos, documentation, and QA sign-off so your team can iterate with confidence.
How we deliver
A pragmatic path from alignment to release—tailored to your product and constraints.
- $phase 01use-casesUse cases
ROI, risk, and data boundaries.
- $phase 02prototypingPrototyping
Spikes and benchmark prompts.
- $phase 03productionProduction
APIs, caching, and fallbacks.
- $phase 04iterateIterate
Metrics, tuning, and roadmap.
Related projects
Selected work that reflects how we approach this discipline in production.
Explore other services
Compose capabilities across design, engineering, QA, and AI—without losing momentum.
Partner with ZUBE
Plan delivery with clarity
Share scope, timelines, and constraints—we respond with sensible next steps you can evaluate with your team.