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Guide to adding AI to your product: LLM integration, custom models, costs, and timeline.
Adding AI to existing product ($20K-80K) vs building AI-first product ($150K-500K+)
When to use OpenAI/Anthropic APIs vs fine-tuned models vs custom ML
Estimate based on model complexity, inference volume, and features
Production readiness, monitoring, cost optimization, and scaling
FAQ
Clear answers for planning scope, timelines, delivery, and the next step.
Guide to adding AI to your product: LLM integration, custom models, costs, and timeline. It is intended for founders, product teams, agencies, and business owners making a software, AI, or technology investment decision.
Use it to clarify scope, compare trade-offs, identify delivery risks, and prepare better questions before speaking with a product engineering team.
Yes. Book a consultation to review your goals, users, constraints, timeline, and budget and turn the guidance into a practical project plan.
Let's turn your idea into a scalable digital product.