Plain English checks
Describe good work in plain English, then turn it into clear checks.
Hookshot™ Models
Frontier-level models, built around your work.
Turn the work your team does every day into a model for your product or workflows. Get frontier-level capability at a fraction of the cost. No ML engineering experience required.
Proprietary or licensed data
Built Around a Job
Give the model one job to get right.
Your team already knows the calls that take time, need care, and happen again tomorrow. Build a model around them instead of paying for a general model to relearn the job on every request.
Product
Integrated Workflows
Put a model inside your product to handle the same steps and decisions your users need again and again.
Practice on Real or Generated Work
Post-train models to get good through practice rounds.
Like a golf simulator, Hookshot™ Environments give the model a real or completely generated case, show where it landed, and let it take a better swing next time.
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Give it a real job
Bring together the cases, tools, and decisions that make up the work your team does.
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Show it what good looks like
Check the result, the steps, and the format the same way a careful teammate would.
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Let it take a swing
The model works through a case. The checks show what it got right and what it missed.
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Learn from the grade
Each round gives the model clearer feedback before you put it to work.
Built for Product Teams
Build it in the language your team already uses.
Most model tooling starts in a Python-first world. Hookshot™ Models are authored in TypeScript, so your product team can stay close to the tools it already knows—no ML engineering background required.
TypeScript authoring
Build in TypeScript instead of picking up a separate Python-first workflow.
Get started with our API
Your product calls the finished model when it needs a decision.
Deploy
Put it where it can help.
Product
From the feature that needs the decision.
Hookshot™ Workflows
Across the tools your team already uses, with an approval checkpoint and a run record.
FAQ
A few things people ask us.
Hookshot™ Models helps you teach a model one repeated job. You start with the cases, decisions, and standards your team already understands. When it is ready, Hookshot™ hosts the model so you can call it from your product or run it as a step in a Hookshot™ workflow.
Hookshot™ Environments are where the model practices jobs and workflows. It works a real or completely generated case, you see the result, and the next round starts from that grade.
No. You do not need ML engineering experience to get started. Start with someone who knows the job well and can explain what a good result looks like; Hookshot™ keeps the model work close to a TypeScript workflow.
A job your team understands, real examples of it, and someone who can tell a good result from a bad one. Hookshot™ can help turn those into a practice setup.
Give it real cases and check the result, the steps, and the format. When your team trusts the work, it is ready for the job.
Put it in your product through a hosted endpoint, or give it a job in a Hookshot™ workflow across your connected tools.
Tell us what you are building. We will work out the right setup together and send you a clear quote.
Model Services
Want us to help build it?
We sit down with your team, learn the job, build the model, and help launch it. Then we hand the TypeScript source back to you.