Ship useful AI features without turning your product into a science project
AI copilots, document workflows, structured outputs, agents, and automations integrated into real products with cost and failure controls.
Focused sprint, production handoff, 30 days support.
AI Integration
AI copilots, document workflows, structured outputs, agents, and automations integrated into real products with cost and failure controls.
From scope to shipped product
Define the job the AI feature must perform
Choose model, retrieval, and workflow architecture
Integrate, test, and instrument the feature
Deploy with basic monitoring and handoff notes
Built for handoff
Everything is shaped around a product you can keep operating after launch.
Who should use this
Pragmatic technology choices
OpenAI, Anthropic Claude, Gemini, LangChain/LangGraph when justified, Supabase/Postgres, vector search, n8n-style automation patterns.
AI Integration for startup hubs
City-specific pages use clean URLs while keeping the country visible in metadata and page copy.
Relevant project snapshots
ZalkAI
ProductivityAI-powered task manager inside WhatsApp with natural language input, smart scheduling, and team collaboration.
Elete Basketball
SportsTechAI-powered basketball training app with HD video drills, performance analytics, and virtual competitions.
Common questions
Can you add AI to an existing product?
Yes. We can integrate AI into an existing app if the product has usable data, clear workflows, and API access.
How do you control AI cost?
We use model selection, rate limits, logging, retries, and smaller models where they are good enough for the task.