FAQ
Straight answers
The real questions buyers ask about engagement, RAG, Hebrew, data privacy and enterprise Claude Code — answered without the marketing fog.
Engagement & pricing
How do you charge?
Fixed-fee for scoped work (audits, builds, sprints), monthly for fractional retainers, and a day/hour rate for ad-hoc advisory. Published prices are 'from €X' starting points; the exact number comes out of a short scoping call once the work is clear.
What's the smallest way to start?
A fixed-fee Architecture / AI-Readiness Audit (from €8,000, ~2 weeks) or a PoC Sprint (from €9,000, 2–4 weeks). Both give you something concrete — a roadmap or a working proof-of-concept — without committing to a full build first.
Do you work with international and US clients?
Yes. I'm Israel-based and work with clients across the EU, UK, US and Israel, in English and Hebrew. For US-headquartered clients I bill in USD; otherwise EUR.
RAG & Hebrew / multilingual
How do you stop a RAG system from hallucinating?
Answers are grounded in your documents with citations, critical facts are validated before they're shown, and an eval set scores answer quality and hallucination rate continuously. When a wrong answer appears, the retrieval/model/data split is diagnosable rather than a black box.
Does Hebrew actually work in RAG?
Yes, with care. Hebrew brings real constraints — RTL, morphology, and tokenizer coverage that inflates cost and degrades quality — that break naive pipelines. I choose embeddings and parsing for the language and validate retrieval and answer accuracy on your own Hebrew content before deploying.
Where does my data live?
Wherever you need it to. The vector database, embeddings and retrieval can run entirely inside your VPC or on-prem, with private endpoints and your own encryption keys — nothing shipped to a third-party API. Per-tenant access control keeps users from retrieving documents they shouldn't see.
Enterprise Claude Code & data privacy
Does Anthropic train on the code we send through Claude Code?
No — not on Commercial/Enterprise terms, and not via the API or Amazon Bedrock. I'll show your security team the exact contractual and technical settings that guarantee it, which is the difference between the enterprise tier and the consumer plan they're worried about.
Can we run Claude Code so our code never leaves our cloud?
Yes — Claude Code via Amazon Bedrock with VPC endpoints keeps prompts and code on a private network path inside your AWS account boundary, with IAM-scoped access and no public internet egress. Initial deployment is roughly a few hours of admin work, not a multi-month project.
Who owns review and release once AI is writing code?
Humans keep the gates. I set up protected branches, CI/CD approval gates and a clear RACI — who owns repo risk tiers, review gates and release approvals — so AI-generated code still passes through the same controls as anything else.
Trust, process & timelines
How do you handle our trade secrets and sensitive data?
Default to keeping data inside your boundary: VPC/on-prem deployments, no-training terms, private endpoints, and protected-branch workflows. The whole point of the Bedrock/VPC and self-hosted-embedding patterns is that sensitive code and documents never leave your control.
What are typical timelines?
An audit is ~2 weeks, a PoC sprint 2–4 weeks, and a RAG or computer-vision build 4–8 weeks depending on scope. Every fixed quote is anchored to a locked scope and a short discovery step — scope creep is what blows fixed prices.
What happens after launch?
You get the system, the eval harness and the documentation to run it. I can stay on as a fractional architect for ongoing direction and reviews, or hand over cleanly — your choice, not a lock-in.
Question not answered here?
Ask it on a 15-minute call — that's usually faster than email anyway.