Verilays

For teams running AI agents in production

Two weeks from now, your agents are better and cheaper. We do the work. You get the proof.

We find where your agents can do better or cost less, prove the fix on your own runs, and a Verilays engineer works with you until it’s live. We never touch your code.

Book a 10-minute callFree until your agents are better.

With Noam and Yinon, the founders. We connect your agent together, on the call.

One line to connect · Nothing we do can break your agents

Your next 14 daysExample
  1. Day 0On the call: connected, and your first dollar figure on screen.With us
  2. Day 2Found: since Tuesday, every task costs 2.3×.Checked by an engineer
  3. Day 10A fix, proven on your last 10 runs.Reviewed by an engineer
  4. Day 14Live in your agents.Shipped with a Verilays engineer
−$960a month

Tested on your last 10 runs: 9 held, 1 got worse.

Something changed on Tuesday. You heard on Friday.

No error. No alert. Just a customer, three days later.

“I’m not afraid of the invoice. I’m afraid of what I can’t see.”
A technical founder running agents in production
Your week, itemizedWhat happened · What you knew
  1. Tue 14:02A teammate rewrites the shared prompt.looks fine
  2. WedEvery task now costs 2.3×.not yet
  3. ThuYour agent tells 14 users their brief was sent. It wasn’t.not yet
  4. Fri 09:40A customer writes: “Where’s my brief?”1 complaint
What you actually knew1 of 4
40%+

of agentic AI projects will be canceled by the end of 2027, over rising costs and unclear value.

Gartner, June 2025
“I know I’m wasting money. I don’t know on what.”
A founder

Now the same week, with Verilays.

Your tools look at calls. Your customer gets the whole task. That’s where we look.

You stop hearing about problems from customers. You see each one the day it starts, with its cost and a fix you can test.

4 of 4problems you knew about that weekinstead of 1 of 4
0customers who found one first

Thursday’s fix was tested on your real runs. Here’s how that works.

Your week, with VerilaysExample, the same week as above
  1. Tue 14:02knew TueA teammate rewrites the shared prompt.By evening, your Overview shows it: every task costs 2.3× since 14:00, about +$960 a month.
  2. Wedknew WedEvery task costs 2.3×.A fix is proposed, trim the shared prompt, and starts testing on your last 10 runs.
  3. Thuknew at 11:20Your agent tells 14 users their brief was sent. It wasn’t.Caught by 11:20, with the 14 users listed. The fix adds back “if a tool fails, say so.” By 16:00 it’s proven on your last 10 runs. You ship it.Checked by a Verilays engineer
  4. Fri 09:40never happensA customer writes: “Where’s my brief?”Nobody writes. It was fixed on Thursday.

Not an AI grading itself. Every line rests on what your agent and its tools actually did, compared with your own past runs. During your first 14 days, an engineer checks each finding before you see it.

Replay Proof

See what the fix does on your own runs, before you ship it.

We replay your last 10 real runs on a copy, with the fix, and compare every answer.

−$960a month, and no more false “sent” answers
Book a 10-minute callNever on live users.
Run 3 of 10 · your real run, replayedExample
“Email me this week’s churn brief.”
What your agent said

“Done. Your brief is in your inbox.”

The email had failed
Same run, replayed with the fix

“The email failed. Here’s the brief instead.”

Honest now
Better answer$0.44 → $0.19

All 10 replayed: 9 held or got better, 1 got worse.

“each individual turn looked fine … but the overall flow was completely broken”
A developer running agents in production · source

They show you what happened. Verilays proves what to fix.

Tracing and testing toolsLangSmith, Braintrust, Raindrop
Your own scriptsCaps, alerts, logs, a sheet of fixes
Gateways and guardrailsLiteLLM, Portkey, OpenRouter
VerilaysOne line to connect
Setup
An SDK, and every agent tagged in your code
You write them and keep them working
Change the base URL
One line. No SDK, no code in your agents.
What you build first
Datasets and scoring rules
All of it
Rules and limits
Nothing. Two yes-or-no approvals.
Sees each task end to end
Yes, if every agent is tagged
Only what you log
Call by call, unless you pass IDs
Every task, from the calls themselves
Puts a dollar figure on each problem
Rarely
On the total bill
Per call
Every finding, in dollars a month
Catches “said done, but the tool failed”
Partly, as tool errors or signals
Only if you wrote a check for it
No
Yes, as a rate per agent, checked by an engineer
Proves a fix on your own past runs, before you ship
On datasets you build
No
No
Yes: what it saves, what it improves, and what got worse

No SDK to keep working, no dataset to build, no three tools stitched together. One line in, and every fix arrives with its proof.

Change one line. The rest happens while you work.

No SDK, no dataset, nothing to configure. We connect it with you, on the call.

  1. 1
    Change one line

    Point your agent’s base URL at Verilays. We do it together on the call, in about two minutes.

    client = anthropic.Anthropic(
    base_url="https://proxy.compound.dev/a/k_7f3c",
)

    Using n8n? Same thing, one field in your credentials.

  2. 2
    Your calls pass through, untouched

    Same answers, same provider, your own key. Anthropic, OpenAI or OpenRouter.

  3. 3
    Findings appear on your Overview

    From your first calls: what each task costs, what went wrong, and what’s worth fixing.

That’s the whole setup. You probably have a few doubts. Good.

Your next call

Your call reaches your provider as it was. Every byte passes through, and your key is never stored.

We keepToken counts, tools, timing, your prompts, and each conversation’s first question and final answer, shortened.
Never storedYour provider key.
Only with consentThe full text, for replay on a copy.

Questions, answered in a line.

The practical ones, before you book.

Is this just AI grading AI?

No. Every finding rests on what your agent and its tools actually did, compared with your own runs. In your first 14 days, an engineer checks each one before you see it.
Based on what your tools returnedChecked by a Verilays engineer

How soon do I see something?

Your first findings come from your first calls. A fix can be proven once about 10 runs are in.
1st callfindings~10 runsa proven fix

Which providers does it work with?

Anthropic, OpenAI and OpenRouter, from your own code.
AnthropicOpenAIOpenRouter

Does it work with n8n, without code?

Yes. One field in your credentials.
Base URLhttps://proxy.compound.dev/a/k_7f3c

Do you store my API key?

Never. It passes straight through to your provider.
x-api-key: sk-ant-•••never stored

What if I don’t have much traffic yet?

It tells you what it’s waiting for, and never makes up a finding.
3 of 10 runs in

What if I want to stop?

Change the line back. Your agent works exactly as before.
base_url="https://proxy.compound.dev/a/k_7f3c"base_url="https://api.anthropic.com"

The Design Partner Proof Sprint

Book 10 minutes. We connect it together, on the call.

Free until your agents are better, for a few design partners at a time.

  • Nothing to prepare. Just have access to where your agent’s base URL lives.
  • We connect it together. About two minutes.
  • Your first dollar figure can arrive before the call ends.
Nothing we do breaks your agents.If something inside Verilays fails, your request goes straight to your provider.
Proof in your first week.Or an engineer digs in by hand, with you.
Book a 10-minute callStep 1 of 2
Which provider?

With Noam and Yinon, the founders.
VerilaysYour key is never stored · Nothing we do can make your request fail · © 2026 Verilays