Omar Hage

Omar Hage

AI Implementation Consultant

I build and ship agent-native AI systems end to end. The AI, the workflows, the integrations, the front end. Government pilots. Insurance automation. Full-stack AI products.

the content pipeline

I built a pipeline that watches comments and transcripts, pulls the patterns, writes the research brief, drafts the script, renders the video, schedules it, and posts it on its own.

Once it posts, it pulls the numbers and feeds them back in, so each new reel is built on what already performed.

I point it at a topic. It hands me a reel.

The one playing here came out of that pipeline. Same engine I use to build automation for clients.

output/ rendered by the pipeline

More of these go live on Instagram @omar_hage.

how it runsno hands
1

finds the idea

from comments + transcripts

2

writes the script

research brief to draft

3

records the voice

voiceover, on brand

4

renders the video

edit + b-roll, assembled

5

adds captions

burned in, timed

6

schedules the slot

picks the post time

7

posts it live

straight to the feed

8

pulls the numbers

reach, saves, watch time

feeds the numbers back in

signature buildbuilt solo, end to end

Need For Lead — full-stack AI DM qualification SaaS

Problem

Inbound DMs pile up. The good leads go cold. Nobody replies in time.

Built

A full-stack product that reads the DM, qualifies the lead, and books the call. Next.js and Supabase for the app, a Python agent on Claude for the conversation, all wired into one system I architected from scratch.

Status

Built end to end, solo.

lead agent

qualifying · live

concept demo
government · NDA

Internal AI tooling for a national government agency

Problem

A government agency needed AI tooling to serve residents across multiple languages.

Built

A multilingual AI system, architected and delivered end to end. The scope sits under NDA.

Status

Built for a national government agency. Under NDA.

client build

AI after-hours receptionist

Problem

Calls that come in after hours go unanswered, and every missed call is a job that goes to a competitor.

Built

An AI receptionist that picks up after hours, captures the request, and logs it for the morning team. Voice plus a Telegram handoff for the staff.

Status

Built and demoed for a client.

shipped · NDA

Insurance-industry workflow automation

Problem

Manual back-office steps across several insurance companies, repeated by hand, every day.

Built

Automated workflows that move the data and run the steps that people used to do one at a time.

Status

Shipped. Running across the industry, under NDA.

approach

I take a problem and ship a working system, solo. I design the agent, build the workflows, wire the integrations, ship the front end.

Before this I spent four years in sales and appointment setting, then moved into building the systems behind it. I played for the Lebanese Basketball National Team and graduated from LAU with a BBA.

I work with clients in the US, the UK, and the Gulf. Beirut time, GMT+3. I work in Arabic, English, and French.

the toolset05 disciplines
  • 01AI agents

    Claude Code, agent-native systems in production. 35 agents running my own operations daily.

  • 02Automation

    n8n, Zapier, Make. The plumbing between every tool a business already uses.

  • 03Full-stack

    Next.js and Supabase for the app, Python for the agent layer.

  • 04Browser automation

    agents that source, fill, and submit on the web with no human at the keyboard.

  • 05Paid media tooling

    Meta and Google ads pipelines for research and creative.

Based
Lebanon
Cadence
Async, GMT+3
Reach
US · UK · Gulf
Languages
AR · EN · FR
Degree
BBA, LAU
more builds05 systems

Each one solves a specific revenue problem. Scoped tight, shipped fast.

workflow01
Cold outreach engine, workflow diagram
01

Cold outreach engine

Sends cold emails at scale. Each one reads like you typed it yourself.

  • AI writes a custom opener for every lead from their real data.
  • Runs the full follow-up sequence, not just one email.
  • Plugs into your CRM and Instantly.
workflow02
Hiring-signal lead scraper, workflow diagram
02

Hiring-signal lead scraper

Finds leads who are already hiring for the problem you solve.

  • Scrapes live job listings for buying signals.
  • Pulls the hiring manager and a verified email.
  • Drops clean, qualified leads into your sheet or sequencer.
workflow03
YouTube-to-post system, workflow diagram
03

YouTube-to-post system

Takes the top videos in your niche and turns them into posts.

  • Scrapes transcripts from the top performers.
  • Finds the angles those videos skipped.
  • Returns scripts and captions. Ready to go.
workflow04
Newsletter system, workflow diagram
04

Newsletter system

Pulls from the Reddit threads your audience already reads.

  • Scrapes the top Reddit threads in your niche.
  • AI filters for what is actually worth sending.
  • Formats it into a ready-to-send issue.
workflow05
Full hiring system, workflow diagram
05

Full hiring system

Takes a candidate from CV to offer. You decide at each step. The system handles the rest.

  • Collects CVs through one simple form.
  • Sends trial assignments and onboarding steps the moment a CV clears.
  • Logs every candidate in your CRM.
straight answers

  • 01

    How do you make sure no agent/automation breaks?

    My builds hold.

    My Quality Assurance agents run 24/7.

    When one drifts, I get the alert and fix it.

    Your team feels nothing.

  • 02

    You're one guy. Can you really handle enterprise clients?

    I build the agents and automation, then train your team to run them.

    Once it ships, your team runs it.

    You keep the build.

Book a call

Pick a time below. Tell me the problem, and I'll show you the system that runs it.

Prefer email? omar@omarhage.com