FAQs: GenAI Engineering Services in Falnir
Anyone can wire up an API call. Shipping a GenAI feature that's reliable, cost-aware and safe under real user load for a Falnir business is a different job — that's what I do.
- Free strategy call
- Transparent pricing
- No lock-in contracts
- Proven results
Get a free strategy call
Tell me about your goals — I'll reply within 24 hrs.
Everything you need to know
Still have a question that isn't answered here? Reach out directly — I respond to every inquiry personally.
Ask a question01Which LLM providers do you work with for Falnir clients?
OpenAI, Anthropic (Claude), and open-source models via providers like Together or self-hosted where it makes sense.
02Can you build RAG systems for Falnir businesses?
Yes — retrieval-augmented generation with vector databases is a core part of the work.
03How do you handle hallucination risk?
Grounded retrieval, structured outputs, automated evals, and human-review checkpoints for anything customer-facing.
04Do you build the whole product or just the AI layer?
Either — I can own the full feature end-to-end, or plug into your existing Falnir engineering team.
05What does a GenAI engineering engagement cost in Falnir?
Cost depends on whether you need a single feature (prompt design plus RAG, for example) or a full evaluation and monitoring layer around an existing feature. Share what your Falnir team is trying to ship for a specific quote.
06How is this different from hiring a general software agency for AI work in Falnir?
A general agency in Falnir can usually wire up an API call but rarely builds the evaluation harness, guardrails and cost-aware routing needed to keep quality from silently regressing after launch — that production-hardening layer is the core of this work.
07How long until a GenAI feature is production-ready for our Falnir product?
A scoped feature with RAG and basic evals typically takes 3-6 weeks from architecture to launch, depending on how much of your Falnir business's data needs to be ingested and indexed first.
08Is this a good fit if we just want to try an AI chatbot experiment in Falnir?
For a quick, low-stakes internal experiment, a lighter no-code tool is often the faster and cheaper starting point. This is built for Falnir teams shipping an AI feature to real customers, where reliability and cost control actually matter.
09What happens in the first week for a Falnir engagement?
The first week defines the exact use case, likely failure modes, and success metrics for your Falnir product before a single prompt gets written — so the evaluation criteria exist before the build does.