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TypeSafe Jev 1.13: a model for application decisions
Short answer
Jev from TypeSafe AI is a model built for tasks where software needs a structured decision, for example assigning a message to the complaints or logistics department, instead of a paragraph of text. It is available on OpenRouter, and a correct answer format has to be told apart from a correct decision.
How we workDetails ↓
- 01Call30 minutes with an engineer, free
- 02PrototypeA working system on your process and data, free
- 03ImplementationTarget and fixed price in the contract; 50% at signing
- 04Acceptance50% once the agreed target is met
- model on your server or in the cloud in the EU
- quoted after the review
- same work in application with EU cloud model
- from €3,000
- task, data and equipment analysis
- €0
We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓
Author: Syntalith · 4 min read
Statistics
Decision models: statistics 2026
1.5 mo.
payback of €3,000 at 5,000 decisions a month: €2,908 of work today, €872 with checking and the model. Scenario.
14–56%
According to Anthropic (2025), AI cut task time by 14 to 56% in studies with a control group.
Source: Anthropic, Estimating AI productivity gains (2025) ↗
47%
According to the European Commission (2026), customer service is the most common use of AI among small and medium-sized EU companies that already use it: 47%.
Source: European Commission, Flash Eurobarometer 578 (2026) ↗
20.0%
According to Eurostat (2025), 20.0% of EU companies with at least 10 employees used AI.
Source: Eurostat, 20% of EU enterprises use AI technologies (2025) ↗
48%
According to the European Commission (2026), 48% of small and medium-sized companies in the EU name a lack of expertise as a barrier to AI.
Source: European Commission, Flash Eurobarometer 578 (2026) ↗
Figures checked: 22 October 2026
- 01Inputthe text and the list of allowed results
- 02Questiona choice, a score or an extraction
- 03Answera structured decision
- 04Checkthe decision compared with the expected one
What goes in and what comes out
You give a description of the situation and questions about the allowed results. You get typed answers with probabilities. The vendor presents Jev as a model that gives up generating free text in favour of such an interface.
A sample task could be choosing a department, deciding whether urgent escalation is needed and judging whether a request is complete. These are different questions about the same case. The application uses the answers in the process rules, for example it sends an ambiguous request to an operator.
This describes a proposed use. It is no result of a Jev test at Syntalith, and no proof that the model will handle a specific company queue correctly.
Three kinds of question and access through the API
choice picks from the given categories, noul returns the probability of a yes answer, and score places a case on a defined scale. For a request, these could be the department, whether it asks for a refund and the level of urgency. The model takes text, also inside a JSON object; it does not analyse images or recordings directly. It also gives no reasoning for its decision.
According to OpenRouter's documentation, an OpenRouter key is enough, with no separate TypeSafe account. Requests go to the Decisions API at POST /api/alpha/decisions or, compatible with the TypeSafe SDK, POST /api/v1/systemone. The key stays on the application server. Several independent questions about the same state can be sent together; the answers do not see each other.
In a pilot, we record the version identifier the API returns. An alias that points to the newest model can change the result, so after a version change we check the thresholds again on labelled data.
Why speed attracts interest
Many applications need no long statement. They have to recognise an intent quickly, check a condition or choose the next path. Jev fits this need with a different way of getting structured results.
TypeSafe publishes its own speed and cost comparisons. The authors describe the set of tasks used, the conditions and the limits of the comparison. We treat these results as the vendor's measurements that justify a trial. We do not translate their percentages into savings for a specific company.
In an application, the network path, the input size, validation and the time other services take also count. Shorter model computation will not always shorten the whole process by the same amount.
A correct format and a correct decision
Keep two kinds of error apart. The model can return an invalid structure that the application cannot read. It can also return one of the allowed categories, but the wrong one.
TypeSafe's claims of no type errors concern the structure of the answer. The category „logistics” can be a valid data type and a wrong choice for a payment complaint. Likewise, a high confidence level needs checking on company examples. That is why the project covers evaluation, a threshold for passing a case to a person and handling of missing data.
Can Jev run locally?
OpenRouter provides a hosted TypeSafe service. In the materials we checked, we found no Jev 1.13 weights to download and run yourself. In a project that needs private processing, we check the vendor's terms, location and availability. We do not assume that the Jev name means offline work.
There are separate local projects inspired by this idea, including Kev and TinyJev. They have their own weights, training and limits. We describe them in the comparison of local alternatives.
How Syntalith can help
We choose a decision in the process that can be judged clearly. We compare rules, a small model and a chosen general model; we include Jev where its availability and terms fit the requirements. We measure accuracy, the escalation rate and the cost of an accepted decision.
If you have a queue of requests or documents to classify, describe it to Syntalith. We can prepare a test, choose how to host it and tune a local model to the categories your company uses.
What it costs
- Today
- 5,000 decisions × 1 min = 83.3 h (€2,908)
- With the system, a person checks the result in 30% of the time
- €872
- Jev calls
- not counted in the scenario
- Cost of one case
- €0.58 today, €0.17 with the system
- Saving
- €2,036 a month
Payback of €3,000
1.5 months
The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat.
The cost of Jev calls depends on the OpenRouter price list, so the scenario does not count it. What remains is the time to check decisions and the cost of the application.
- The time from receiving a case to the result, before and after the change
- Cases the application passed to a person
- Corrections by the person checking
- The cost of the model and maintenance at the target volume
Where to start
In the free review we choose one process and count the volume and the team's working time, and within 2 working days you receive a written summary with a price. We run the build as part of AI apps, and price maintenance separately.
Worked example · Scenario
How we count the payback: decisions in an application
We run the same count for your team in the free review.
€5,817
a month for answering 2,000 customer emails
Payback: 0.6 mo.
5 minutes to read an email and write a reply and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: Claude Sonnet 5.5, about 3,000 + 600 tokens per message with a draft reply, at the ECB rate of 1.1205 USD per euro on 22 October 2026.
See the full calculation →