Get a rough estimate for your AI project in 60 seconds. Select your project type, complexity, and features below.
Select the option that best describes your project
AI Chatbot / Assistant
Customer support, internal knowledge base, or domain-specific conversational AI
RAG System
Search and Q&A over your documents, knowledge base, or proprietary data
AI Agent / Workflow
Autonomous agents that take actions, multi-step reasoning, tool use
Content Generation Pipeline
Automated content creation, SEO articles, product descriptions, reports
AI Feature Integration
Add AI capabilities (smart search, classification, recommendations) to existing product
Computer Vision / Image AI
Image recognition, document processing, visual inspection, OCR
n8n / Workflow Automation
Business process automation with AI-powered decision making
AI-Native Mobile App
iOS or Android app with on-device ML and cloud AI features
Fix Vibe Coded App
Audit, refactor, and harden AI-generated code for production
AI development costs range from $3,000 for simple automations to $150,000+ for enterprise AI systems. A basic chatbot starts at $5,000-$10,000, a RAG system at $8,000-$15,000, and a full AI agent at $10,000-$20,000. Complexity, features, and production requirements are the biggest cost multipliers.
Simple AI features take 2-4 weeks. Full AI products with RAG, evaluation frameworks, and production infrastructure take 6-16 weeks. Mobile apps with on-device ML take 8-16 weeks. We deliver working prototypes from week one and iterate based on real usage.
The biggest cost drivers are project complexity (simple vs enterprise), number of AI models and data sources, production requirements (evaluation, monitoring, security), and whether you need ongoing AI infrastructure. A simple chatbot is 5-10x cheaper than a multi-agent enterprise system.
It depends on the architecture. If you run the work on agents, AI API usage scales with volume forever ($500-$5,000+/month) plus hosting and maintenance. But for repetitive work, the ongoing cost collapses when you compile it into deterministic code: tokens are spent only when the rules change, not on every run - roughly 100x less over time. Use the Return on Tokens Calculator to model the difference.
This calculator provides a ballpark range based on typical project parameters. Actual costs depend on your specific requirements, existing infrastructure, data readiness, and integration complexity. The biggest lever is whether the work is run on agents or compiled into code - model both with the Return on Tokens Calculator, then book a free consultation for a precise quote.
