AUTONOMOUS AGENTBACKEND SYSTEM · SOLO BUILD

Prospect Pilot

A fully autonomous prospecting agent that finds leads, holds real multi-channel conversations across LinkedIn, email and SMS, qualifies genuine interest against configurable criteria, and books the call, on its own.

ROLESole architect & engineer
TYPEAutonomous agent · backend
CHANNELSLinkedIn · email · SMS
CONSOLEStreamlit operator UI
THE PROBLEM

Prospecting forces a choice between scale and being human.

Manual outreach is personal but doesn't scale; templated automation scales but reads like spam. Most cold outreach goes unanswered, channels are saturated, and reps lose a fifth of every day just writing messages, with qualification left to gut feel.

~5%typical reply rate on cold B2B email
21%of a rep's day spent writing outreach
100sof messages a decision-maker gets monthly
industry figures — Belkins, Hunter.io, Leadium (2025)
WHAT I BUILT

An agent that runs the whole early funnel, and shows its working.

01

Discover & enrich

Pulls leads from Apollo (or CSV) with work history and company context, so every conversation starts informed.

02

Channel routing

Picks LinkedIn, email or SMS based on the contact data available, automating LinkedIn end-to-end via PhantomBuster, and keeps all threads synced in one place.

03

Adaptive conversations

Platform-aware tone and per-lead personalisation from real profile data, not template mail-merge.

04

Criteria qualification

Weighted, configurable scoring probes for interest, role and fit, and evaluates every lead the same way.

05

Book & brief

On a qualified lead it shares a Calendly link, then auto-writes a lead analysis and meeting brief.

06

RAG knowledge base

Live company and offer knowledge, editable in the console, so messaging stays accurate with no retraining.

THE INTERFACE IS THE CONVERSATION

No dashboard to babysit. It just works the leads.

The product isn't a screen someone stares at, it's the agent itself, holding hundreds of personalised conversations at once. It adapts tone per channel, references each lead's real background, scores interest as it goes, and only surfaces the ones worth a call.

Platform-awareprofessional on LinkedIn, structured over email, brief on SMS
Genuinely personalshapes each thread around that lead's background and role
Fully transparentevery message, score and note stored on the lead's profile
PROSPECT PILOT · LIVE
▍ working…
THE LIFECYCLE

Lead to booked call, end to end.

1

Import

Leads arrive enriched from Apollo or a spreadsheet.

2

Engage

The agent opens and holds the conversation on the right channel, at the right local time.

3

Qualify

It scores interest and fit live against your weighted criteria.

4

Book

Qualified leads get a scheduling link and you get a prepared brief.

THE OPERATOR CONSOLE

A control room for a system that runs itself.

Behind the autonomous agent sits an internal console for configuring identity, criteria and knowledge, and watching every lead, conversation and qualification score in real time. Built for operation and oversight, not for show.

operator console · Streamlit
Prospect Pilot console: 300+ prospects across pipeline phases and channels
Qualification scoring: criteria assessment with an overall score
qualification scoring
Message activity timeline across email, LinkedIn and SMS
message activity
WHAT IT'S BUILT TO DELIVER

Scale that stays personal.

Less busywork

Automates discovery, messaging and qualification so the team spends time on real conversations, not chasing.

Personal at scale

Holds context-aware, one-to-one conversations across hundreds of leads at once, without the template feel.

Only warm calls

Consistent, objective qualification means the calls that land on the calendar are ones worth taking.

design targets based on benchmark outreach data, not guaranteed results
BUILT WITH

The stack

Autonomous agent core, RAG knowledge base, multi-channel delivery and a Streamlit operator console.

PythonLangChainRAGVector DBApolloPhantomBusterTwilioCalendlyStreamlit

Need a system that works while you sleep?

Autonomous agents like this are my core specialism. Tell me what you're trying to make happen.

nathan.aisolutions@gmail.com See the rest of my work