AI that does the
work, then asks.

A newsroom that briefs me twice a day

For a daily current-affairs television show, I built a research desk that collects the news, writes two full briefings a day with talking points, and reviews the episode afterwards to show what landed and what did not.

Content pipelines with a quality gate

For a multi-brand e-commerce operator, an automated content pipeline: it finds what customers are searching for, refuses to repeat a topic, runs its own quality checks, and publishes only after a human presses approve on a dashboard.

Agents that watch the business

Daily health checks across storefronts: uptime, broken promises such as delivery times or discount codes that no longer exist, stale content, and a short written brief each morning. Read-only by default, with a kill switch.

An SEO blog engine that publishes itself

A content pipeline that runs a full editorial cycle without a writer on staff. It finds what customers are actually searching for, checks every new idea against everything already published so the same topic is never written twice, drafts the article, runs about twenty quality checks on it, fixes what it can and rejects what it cannot, lays the piece out and queues it for approval. A human presses publish. Nobody types.

The parts that make it survive contact with a real business: a duplicate check that compares meaning rather than keywords, a login protected dashboard where a person approves or kills each draft, email alerts when a run needs attention, and a schedule that fills weeks ahead so the blog does not go quiet when everyone is busy. It runs on a small server and costs pennies a day, because the writing runs on a subscription rather than paying per article.

It has been publishing on schedule for months. I am happy to walk through how it works on a call; the client it runs for stays unnamed.

WhatsApp automation

In this part of the world WhatsApp is where business actually happens, so that is where the automation belongs. I have built flows that send order updates and tracking, answer the questions a support agent answers forty times a day, deliver daily content to a subscriber list, and hand a conversation to a human the moment it stops being routine.

The same pattern works for lead qualification: the bot asks the boring questions, and you only pick up the phone when the answers are worth your time.

What people ask me for most

If you are wondering whether your problem is the kind I solve, this is the list that comes up week after week:

• A customer support agent that knows your catalogue, your policies and when to fetch a human
• Lead capture and qualification that fills your CRM instead of your inbox
• Product photography and ad creative generated in a day, not a shoot
• Content pipelines: blog, email, social, in one voice, on a schedule
• Review, order and delivery notifications wired into WhatsApp and email
• Reports that build themselves every Monday morning
• Faceless video channels, from script to upload
• Avatar spokespeople for brands that do not want to be on camera
• Bilingual content, English and Urdu, that does not read like a translation
• Internal tools: a dashboard, a tracker, an approval queue, whatever the spreadsheet has outgrown

Social and research automation

Scheduled research briefs, drafted posts that wait for approval before publishing, and analysis pipelines that take a video or a competitor’s content apart and explain why it worked.

Teaching it

I teach this to non-technical people: more than 6,000 students have come through Mind Changer, and my AI courses end with students having built something live, a site, a store, a video or an automation.

What this brings a client

An honest answer about where AI pays for itself in your business, then the build, with approval steps so it never embarrasses you.