It doesn't sound like your brand
Tone, forms of address, and boundaries drift; it sounds like a generic assistant.
LLM POST-TRAINING STUDIO
Your model,
fitted to your product.
TailorLM helps teams with a clear task and real data post-train open-source LLMs. Diagnose first, then train; accept on a reproducible test set.
Founding clients: 20% off the first three projects · diagnostic fee credited
01What usually goes wrong
It drifts in long conversations
By turn ten it forgets who it is, what it can do, and what it must not do.
Structured output and tool calls are unstable
JSON, arguments, and refusal boundaries fail; retries don't fix it.
Prompt and RAG were already tried
Knowledge improved, but behavior and voice are still inconsistent.
02What you get
Not “training finished”.
“It measurably got better.”
The business metric, the regression result, and a model you can actually run matter more than a loss curve.
One business metric
From A to B, written into the SOW before training; no moving the goalposts.
A fixed test set
The same questions and rubric before and after; reproducible.
Regression testing
The target improves without the model getting noticeably worse elsewhere.
Artifacts you can use
Adapter or model, inference example, deployment notes, failure cases, and limitations.
03How it runs
Diagnose
Decide whether training is worth it; define metrics and budget.
3–5 daysBaseline & data
Build the test set, measure the current model, clean the training data.
1–2 weeksExperiment
Validate the direction on a small, high-quality sample.
1–2 weeksTrain & deliver
Full training, evaluation, regression, packaging, and deployment notes.
3–6 weeks04Services
Start with a diagnostic.
Go only as far as the evidence.
Full pricing →| Service | From | Deliverables | Timeline | GPU |
|---|---|---|---|---|
Diagnostic Decide whether training is the right fix | $700 ¥4,800 | Scope, data readiness, baseline plan, cost estimate, go/no-go | 3–5 days | None |
Data & evaluation Turn raw material into trainable, testable data | $2,500 ¥16,800 | Dataset, held-out test set, quality report | 1–2 weeks | None |
LoRA experiment Validate the direction on a small budget | $4,000 ¥28,800 | Adapter, before/after comparison, failure analysis | 1–2 weeks | At cost |
Full delivery A usable custom model and an acceptance report | $9,500+ ¥68,000+ | Adapter/model, evaluation report, deployment notes, 2 revisions | 3–6 weeks | At cost |
FOUNDING CLIENTS
Build the first case
with us.
The first three clients get 20% off in exchange for an anonymized case and feedback. Cases are published only with written permission.
05FAQ
Questions,
answered first.
Why diagnose before training?
Not every problem is a training problem. The diagnostic separates a knowledge gap from a behavior gap and a workflow gap. If prompt engineering, retrieval, or a process change is enough, we will say so instead of selling training.
Do you have public case studies?
We do not publish unverified work. The first three clients join at a founding price; after delivery we publish a redacted case only with written permission.
Is our data safe?
Client data never enters git. It lives in encrypted object storage, referenced by manifest and hash. Training and evaluation are isolated, and data is deleted or archived as agreed at the end of the project. Please do not send unredacted data or secrets in the first email.