For the messages that cost you time and money

Sloth-Butler handles the messages you dread replying to.

Clients asking for free extra work. Customers pushing for a discount. Invoices that are weeks late. Save your rate and your floor once. Paste the message and get a polite, firm reply that quotes your real numbers, then let it plan the follow-ups if they go quiet.

Write a reply

Set your terms. Paste the message. Send the reply.

Save your rate, your minimum and how you like to be paid. Every reply uses those numbers and won't go below your floor. Then pick the kind of message and a tone.

Set once

Your terms

Your rate, your floor and how you get paid

Rate

Kept in this browser. Sent with each reply so the counter-offer uses your real numbers and never goes under your floor.

01

Pick the situation

Scope creep, discounts, late invoices and more

What kind of message is it?
0/2000
02

Set the tone

Soft, firm or maybe-later, in six languages

Tone
03

Send the reply

Copy it, play it or save it as a voice note

Your reply shows up here

Pick the situation, paste their message and press Write my reply.

Follow-ups

Nothing slips

Late invoices and “I'll get back to you” replies get a three-step plan. Send each one when it's due and mark it sent.

Board

Follow-ups

What's due today, what's next, what's done

Nothing due today

Pick “Late or unpaid invoice” or “I'll get back to you”, write a reply, then press Plan follow-ups.

Saved in this browser only. Marking an invoice paid adds it to your log as money recovered.

Your log

What you protected

Each reply you save adds the hours and money you kept. It stays in this browser.

04

What you protected

Hours and money you kept, in your currency

$0Money protected
0hHours protected
0Replies saved

40h to a full work week

Nothing logged yet. Write a reply and press Save to log.

Saved in this browser only. Nothing is sent to a server.

Why a trained model

Before and after training

Sloth-Butler runs on Qwen3-8B with a small adapter trained for this one job. Try the same message on both.

05

Why it's trained

Same model, before and after training

Same message, same open model. Left is before training, right is after.

Before training (plain Qwen3-8B)

Untrained reply goes here

After training (Sloth-Butler)

Trained reply goes here

Test results

Loading test results