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The fastest path is booking an intro call — 30 minutes to assess your domain data, current model setup, and what adaptation technique actually fits your problem.
Most AI adaptation projects fail not because of poor execution but because of wrong technique selection. RAG is not always the answer. Fine-tuning is not always overkill. The technique should follow the problem and the data you actually have — not a vendor's default recommendation or a framework someone else used in a different domain.
In an intro call with Philip Stevens, you'll leave with a clear view of where your domain data sits on the adaptation spectrum, which technique is appropriate, and what the buildout would require. No upsell. No vague roadmap. Just a concrete, actionable assessment you can act on immediately whether or not we work together.
Typical questions the intro call covers: Is your retrieval bottleneck a chunking problem or an embedding problem? Does your structured extraction failure pattern indicate a fine-tune candidate or a prompt engineering gap? Is your inference latency a model size problem or a serving infrastructure problem? Are you losing accuracy at inference time because of distribution shift or because of inadequate training signal?
If email is a better fit, use the address below. Response time is typically within one business day. For active project inquiries, please include a one-paragraph description of your current model setup and the core problem you are trying to solve.
phil@baseweight.co Book an Intro Call →