Tanuj Singh

I break down the AI mistakes that cost people time & money.
Real tools. Real workflows. Zero fluff.
Building in public ⬇️

[Tanuj Singh @Tanujcode]

Three outcomes. One pattern.
The ones who lost money built a product first and looked for buyers after.
The ones who made money fixed something measurable that already existed.
Pick one business. Pick one workflow wasting their time. Measure it before and after.

[Tanuj Singh @Tanujcode]

That audit is what turned one-off builds into retainers.
He reports 2–6 clients a month, $6K–$13K monthly profit — self-reported, unverified.

[Tanuj Singh @Tanujcode]

A third person split the difference.
One automation template. Tested it, broke it, fixed it. Cold outreach. One small client.
Then he added a paid audit before every build: map the workflow, measure the time it actually takes, show before and after in numbers.

[Tanuj Singh @Tanujcode]

40% more client capacity. No new hires.
$180,000 in added revenue that year.
Self-reported, not audited — but it's one of the sharpest "AI actually worked" numbers I've found.
Notice the difference: this wasn't a product. It was a workflow fix.

[Tanuj Singh @Tanujcode]

Compare that to an agency owner in a completely different thread.
No startup. No 18 months. Just AI applied to existing client work.
Client brief creation: 4 hours down to 45 minutes.
6 hours saved per client, every month, on reporting alone.

[Tanuj Singh @Tanujcode]

His real conclusion: nobody wants "AI copywriting."
They want more sales.
A generic AI wrapper is impossible to differentiate from someone just opening ChatGPT themselves.
The opportunity was never the tool. It was a specific industry with an expensive problem.

[Tanuj Singh @Tanujcode]

His first mistake: he asked people if they'd pay for it.
Not asked them to pay.
14 months building. 4 months trying to sell it. $8,000 in marketing spend.
CAC: $650. Revenue per customer: $28.
The math never had a chance.

[Tanuj Singh @Tanujcode]

He spent $47,000 and 18 months building an AI copywriting startup.
Result: 73 users. 12 paying customers. $340 in revenue.
Not $340,000. $340.
Here's what went wrong — and what two other people did instead.

[Tanuj Singh @Tanujcode]

An agency owner says AI cut brief creation from 4 hrs to 45 minutes.
6 hrs saved per client monthly. 40% more clients, no new hires. $180K added revenue.
Self-reported, not audited — but it's the most specific "AI ROI" claim I've found this week.

[Tanuj Singh @Tanujcode]

@erichustls Copying viral posts works till everyone in your niche does it, then it's just noise.

[Tanuj Singh @Tanujcode]

He spent $47,000 and 18 months building an AI copywriting startup.
Result: 73 users. 12 paying customers. $340 in revenue.
His first mistake: he asked people if they'd pay. Not asked them to pay.
Nobody wants "AI copywriting." They want more sales.

[Tanuj Singh @Tanujcode]

Claude, ChatGPT, Gemini — they're all hammers.

Your job isn't to collect hammers. It's to find nails.

The nail is usually: "We're losing money because we don't have staff to handle X."

Find X. Charge to fix it.

The tool is the last 10% of the sale.

[Tanuj Singh @Tanujcode]

98% of businesses use AI in CX. Only 15% connect it across departments to solve problems end-to-end. That gap means paying for AI while still paying for unresolved tickets. Your opening: build one workflow that connects the handoffs.**

[Tanuj Singh @Tanujcode]

The top 1% of businesses spent a median $7,400 per employee on AI last month.
The median business spent $12.
That gap isn't a budget problem. It's a "nobody showed them what to automate" problem.
You don't need $7,400. You need one workflow that pays for itself in week one.

[Tanuj Singh @Tanujcode]

@erichustls Everyone wants the 5 prompts. Nobody wants to hear that the offer and distribution matter more.

[Tanuj Singh @Tanujcode]

Copy this:
“Act as [role]. Context: [background]. Goal: [goal]. Task: [task]. Constraints: [limits]. Example: [example]. Identify ambiguity, answer, audit against my goal, then revise.”
The best prompt removes ambiguity.
Save this for your next bland AI answer

[Tanuj Singh @Tanujcode]

Your AI may not be bad at writing.
Your instructions may be vague.
Most people give AI a topic.
Power users give it a brief.
Use this 6-part structure:
Role → Context → Task → Constraints → Example → Evaluation.

[Tanuj Singh @Tanujcode]

Ask for evaluation.
Use:
“Before answering, identify the biggest ambiguity. After answering, check the result against my goal and provide a revised final version.”
This creates a built-in editing pass.