Gabe Pereyra

building @harvey with my bud @winstonweinberg

[Gabe Pereyra @gabepereyra]

https://t.co/1c2Dn0vuoX

[Gabe Pereyra @gabepereyra]

@gordon_cassie that does tend to go pretty viral 😂

[Gabe Pereyra @gabepereyra]

Tried /goal work for 24h and write me a tweet that gets 1M views

Bit surprised these things can solve navier stokes but still can't write a banger

[Gabe Pereyra @gabepereyra]

@NaveenGRao Yeah the best I've found is just yelling into voice mode until it captures my style

[Gabe Pereyra @gabepereyra]

@BorisMPower Any tips? Gave codex access to my computer / twitter and it looked at all my tweets / analytics - kind of thought using all that I would have more luck 😂

[Gabe Pereyra @gabepereyra]

@Machine01776819 @harvey How come?

[Gabe Pereyra @gabepereyra]

When I shared @harvey’s model strategy a few months ago, there were two parts:

1. Build our own model
2. Use that to help customers do the same

We’ve done the first. Now we’re hiring for the second: Harvey’s Private Model Program.

We’re seeing huge demand from law firms to own their own intelligence leveraging private data.

This will enable them to become frontier firms that get smarter with every client matter.

You’ll:
 - Partner with law firms to build these systems.
- Build the team that delivers this at scale.
 - Work with our technical org to define the platform that powers this team.

We’re looking for a technical PM or founder type to own Harvey’s Private Model Program.

DM me if this sounds interesting.

[Gabe Pereyra @gabepereyra]

@StevenObiajulu @harvey Strongly agree :)

[Gabe Pereyra @gabepereyra]

@clavaai @harvey As agents get better and they control more and more of your organization I don’t think there is a way to train them agnostic to the firm they are operating in

[Gabe Pereyra @gabepereyra]

@sethtjf @paws4puzzles Yes today we use inference providers to serve open source models but curious what your take is

[Gabe Pereyra @gabepereyra]

@jdmurray21 @harvey In many cases you can get better performance via training vs just context or harness engineering

[Gabe Pereyra @gabepereyra]

@clavaai @harvey There is a lot you can do here without client data and just using the firms lawyers feedback / private non client data. We’ve had some convos between a law firm and a client of training a joint model

[Gabe Pereyra @gabepereyra]

@JustinIronfoot @harvey For now we are doing this with design partners and it’s research and a heavy lift from our side but in the future want to make this increasingly self serve

[Gabe Pereyra @gabepereyra]

@jdmurray21 @harvey For now we will use our serving infrastructure but this is definitely something we are considering for the future

[Gabe Pereyra @gabepereyra]

@newtemeraire @harvey We’re working with firms who are already very far along in building custom agents and leveraging their data but have hit limits with those approaches

[Gabe Pereyra @gabepereyra]

@YavarB @harvey lmao

[Gabe Pereyra @gabepereyra]

@secretinvest0r @harvey How come?

[Gabe Pereyra @gabepereyra]

@attnisalluneed @mustafa_2vec @harvey training versions of tenet with inkling, reflection, nemo, etc rn and will share more results soon

[Gabe Pereyra @gabepereyra]

The hardest thing about building @harvey is doing what’s best for our customers despite immense pressure to do what’s easy.

The easy thing would have been to force our customers onto consumption pricing before they were ready and serve them worse models to protect our margins.

We chose to help our customers transition on a timeline that works for them and give them the best models in the meantime, even though it hurt our margins.

This meant optimizing our product through routing, harness improvements, and post-training so we could serve frontier intelligence at an affordable price.

It also meant building the infrastructure for customers to monitor and manage spend: usage dashboards, per-matter cost attribution, spend caps, and ROI reporting.

As a result, we improved our gross margins from -50% to positive in a single quarter despite usage doubling month over month and continuing to serve the best models.

Our philosophy is simple: do what’s best for our customers, even when it’s painful, hurts our margins, or draws criticism from competitors, X, and the press.

We believe the most important part of building a company is earning and keeping your customers’ trust. You do that by doing the hard thing for them, even when it costs you.

[Gabe Pereyra @gabepereyra]

@SplinteredEsq @harvey Of course - my point was just we made a conscious decision before we wrote those contracts and how we handle renewals / new customers / etc to help our customers

[Gabe Pereyra @gabepereyra]

@peteror_ @harvey You're right - our customers understand consumption pricing but that doesn't mean they are necessarily ready to operationalize the change which is a massive one