1. Idea
  2. One got read
  3. How
  4. Says no
  5. Where words come from
  6. The product
  7. For you

It finds the companies that need you,
reads their words,
and writes the message. You approve.

An AI operator for outreach, sales or job hunting, that shows its evidence for every sentence.

Findcompanies with a real need Readtheir site, job posts, news Understandwhat's costing them time Writein their language, with proof You approvenothing sends without you
See it in 60 seconds ↓scroll · or use ↓ keys

Same company. Two emails.
Guess which one got a reply.

✕ templateTo: Pylon

Hi J•••••,

I saw your company is growing rapidly. We help companies automate repetitive work using AI.

Would you be interested in a quick call?

deleted in 2 seconds
vs
✓ this systemTo: COO, Pylon · verified

Hi J•••••,

I noticed Pylon has at least 5 open roles, including Scaled Customer Success Manager, and the Customer Success Operations role puts “build the foundation for company-wide reporting and insights” and “create dashboards” on the team.

That suggests a meaningful part of the team's week goes to moving information between Catalyst, Zendesk and Slack.

Worth sending you a 90-second example of what that could look like for Pylon?

every highlight = a fact from their own pages
from their job postings & site their exact wording, quoted a guess, written as a guess

Five steps. Structured, traceable, and a human at the gate.

1
🔎

Find

Companies matching who you sell to.

“B2B SaaS · US · 50–500 people · hiring”
2
📄

Read

Their website, job posts, news.

Customer Success Ops posting: “create dashboards”
3
💡

Understand

The repetitive work hiding in plain sight, and who owns it.

Recurring reporting → COO · score 73/100
4
✉️

Write

The message from evidence, in their words. Then it grades itself.

Evaluator 10/10 · hallucination risk: low
5
🙋

You approve

Edit, regenerate, reject, or send.

Sending is blocked until you click.

15 seconds per company · about 3 cents of research each

It knows when to say no.
Most automation can't.

0 0 0 real postings assessed rejected, with the sentencethat proves it people worth writing to
“Must be US-based.”→ not eligible
“Hiring Remotely in Poland”→ not eligible
“must be legally authorized to work in the United States”→ not eligible
“Fully remote, anywhere in the world”→ eligible
“Remote” (nothing more said)→ unclear, never assumed

Same rule for sales: weak evidence → “not a fit”, reason stored. It never talks itself into a lead.

Every sentence has a receipt.

their careers page

Customer Success Operations: “build the foundation for company-wide reporting and insights” · “create dashboards”

their job posts

Tools named across postings: Catalyst, Zendesk, Slack

the rule

A guess must sound like a guess: “That suggests…”, “I suspect…”, never stated as fact.

If a quoted phrase isn't in the source, the draft fails. If a number has no evidence, the draft fails.

Real screens. Nothing here is a mock-up.

Dashboard
The pipeline, live counts, and how many it refused
Message view
The email next to its evidence: approve, edit, reject
Job results
Job-hunt mode: fit, eligibility quoted, contact, one-click draft

Also works the other way round: upload a resume, it hunts the jobs, and drafts the applications into your Gmail.

What this means for your business.

1 hour

of your time → a queue of researched, written, ready-to-approve conversations.

0

emails sent without a human. Ever. It's built into the system, not the policy.

Any workflow

Lead research is the demo. The same engine runs support triage, reporting, invoice matching, recruiting coordination.

lead researchsales opssupport triageweekly reportinginvoice reconciliationrecruiting coordinationdata entry between systems

Bring me one repetitive workflow. I'll show you it running on your data before you pay anything.

Automate my workflow → or just email me Engineering deep-dive →

Built end to end by Hasnain Ali · Senior AI Engineer · LLMs, RAG & agentic systems