Find out if Jev can cut your AI bill - on your own data

Many AI products pay a full language model to do one small job: sort a ticket, route a request, score a lead. TypeSafe’s Jev is built for exactly those decisions. The Jev Switch Check tests your real examples and tells you, with numbers, what you would save, what accuracy you keep, and where switching is unsafe.

Fixed price, about 2 weeks: quoted up front once we know how many AI calls you want tested. BrightBit is independent of TypeSafe AI.

~2wk

Start to report

Fixed

Price, quoted up front

500-2,000

Of your real examples tested

3

Models compared on your data

What the Switch Check gives you

Not a slide deck. A measured answer for your product, and the code to act on it.

Cost saved, in pounds

Your monthly spend on each decision call today, against the same calls on Jev at your real volumes. TypeSafe's own figures are best-case - we measure yours.

Accuracy you keep

Every example is run through your current model, Jev and an open-weight backup, then compared against the right answer. You see where Jev matches, beats or falls short.

Confidence tuned to your data

Jev returns a confidence with every answer. We set the thresholds on your examples: act automatically when it's sure, fall back or ask a human when it isn't.

Where it's unsafe

A plain list of the calls that should not move - because of accuracy, data protection or the lack of an uptime guarantee - and what to use instead.

Drop-in code

The Jev call, the confidence gate and the fallback, ready for your team to merge. No lock-in: it's your code.

A report you can forward

Short enough for a finance director, detailed enough for your engineers. Includes the data-protection points your DPO will ask about.

Send us a sample, get a savings estimate

Free. Tell us what one of your AI calls decides. We reply within one working day with how to send an anonymised sample - around 100 real examples - then estimate your monthly cost today vs with Jev.

How the Switch Check works

Four steps, about two weeks, fixed price.

  1. 1

    Find the decision calls

    We go through your product and list the AI calls that only sort, route or score things - the ones where you pay for text you then throw away.

  2. 2

    Re-run your real examples

    500-2,000 of your past examples (anonymised) go through your current model, Jev and an open-weight backup. Same inputs, same right answers.

  3. 3

    Tune the confidence

    We pick the confidence thresholds on your own data, so Jev only acts alone where it has earned it and everything else falls back safely.

  4. 4

    Hand over report and code

    Cost saved, accuracy kept, the calls that must not switch, and the drop-in code. We walk your team through it in one call.

A general LLM call vs Jev, for a decision

Jev figures are TypeSafe's published early-access numbers (September 2026). The Switch Check replaces them with yours.

General LLM callJev
What comes backText you have to parseA typed answer: option, score or yes/no
ConfidenceNot built inProbability and confidence with every answer
SpeedVaries by model70-500 ms (TypeSafe's figure)
PricePer input and output token$0.042 per million input tokens, output free
Writes textYesNo
HostingMany options, incl. UK and EUUnited States
Uptime guaranteeDepends on providerNone in current terms

When we’ll tell you not to switch

TypeSafe publishes Jev’s known weak spots. If your decision leans on any of these, it stays on a language model or plain code:

Source: TypeSafe, Jev 1.13 known weaknesses

Decisions that are usually worth testing

If your product makes one of these calls thousands of times a month, it is a Switch Check candidate.

Support ticket routing

Which queue, which priority, does it need a human. High volume, fixed categories - the classic case.

Lead and enquiry scoring

Spam or real, good fit or not, urgent or can wait - scored on every form that comes in.

Search reranking

Scoring which passages actually answer a question before they reach your chatbot or search results.

Checking LLM output

Is this answer supported by the source? Is this tool call sensible? A fast yes/no gate in front of your main model.

Bulk classification

Tagging every record in a large dataset - documents, reviews, case notes - against a fixed category list.

Moderation and triage

Flagging content or requests for review, with a confidence score that decides who looks at it.

Jev Switch Check: common questions

Not sure which of your AI calls could switch?

In a free 30-minute call we'll look at your product with you and point out the decision calls worth testing - and the ones that aren't.

  • Free demo on your real data - no commitment
  • Paid discovery phase - half up front, half on spec delivery. You own the spec.
  • Only then do we commit to the full build

Not ready for a call? Tell us where to reach you - we’ll reply with 3 tailored ideas for your business. No follow-up sequence, no spam.