Khawaja A.

40+ AI employees deployed. 10 in my internal fleet. 30+ across 15 client production environments. 99.5% uptime over 12 months.

They research leads, write outreach, publish content, run audits, monitor systems, and report back. Every day. Without supervision. Not chatbots. Employees that do work.

A meta-agent on a single server dispatches tasks across my internal fleet, reviews output quality, and ships me one daily digest. The fleet handles a full sales pipeline (research → qualify → email → LinkedIn DMs), multi-platform content, SEO, job hunting, and proposal drafting.

What I deploy:

AI Sales Teams — Agents that research prospects, enrich with company intel, score against your ICP, then draft personalized cold emails and LinkedIn DMs. 5-touch drip sequences. Rate limiting. Pipeline tracking. Your human reps close. The AI does everything before that.

AI Content Teams — Agents that research daily, draft platform-native content, run it through quality gates that catch AI slop, and publish on approval. I've built pipelines for LinkedIn API, X API v2, and Reddit with content rotation and topic cooldowns.

AI Operations Staff — Health checks, data syncing, scheduled reports, system monitoring, compliance audits. They follow the process exactly, every time, and flag when something's off.

Fleet Orchestration — When you have multiple AI employees, you need a manager. I build meta-agents that coordinate your fleet, dispatch work, evaluate output, and deliver a single daily digest of everything your AI workforce accomplished.

Verticals shipped: tax firms (6-agent IRS forms / TaxDome / bookkeeping swarm), digital ad agencies (30+ accounts across Google Ads / GA4 / Meta / LinkedIn), DTC supplements (3-agent brand intelligence in UK / US / AU markets), home-services operators (CRM + SMS booking + browser automation), B2B SaaS dev teams, prediction markets, newsletters, lead generation.

Why clients keep me on retainer:

I operate, not just build. Most freelancers hand you a bot and disappear. I deploy on production infrastructure with health monitoring, auto-restart, secret management, and audit trails. I keep them running.

I've done it for myself first. My own business runs on AI employees. Lead research, outreach, content, SEO, proposals. Every system I sell to clients, I've battle-tested on my own operations.

I know what breaks. 40+ deployments taught me where agents fail: config coupling, context overflow, token expiry, rate limits, memory drift, browser session decay, OAuth refresh races. I've hit every failure mode and built recovery into the infrastructure.