Pick your first AI assistant.

The mistake most people make

Most first-time subscribers pick the assistant that sounds most exciting in the catalog, not the one that maps to a job they actually do. They scroll, land on something like “Performance Ads Strategist,” think “ads are important, I should get serious about ads,” and subscribe. Two weeks later, the tab is closed and the ₹99 is sitting on next month’s card statement, unused.

The problem isn’t the assistant. The problem is the buyer. If you run paid ads twice a year when a campaign launches, a Performance Ads Strategist is the wrong first pick for you, no matter how good it is. You will not open it. The same goes for “Investor Pitch Deck Coach” if you raise once every three years, or “Quarterly Board Memo Writer” if your board meets twice a year. Aspirational subscriptions are how people end up cancelling everything and concluding that “none of this stuff worked.”

The “weekly job” test

Here is the only filter that matters for your first pick. Name a task you do at least once every seven days. Not once a month. Not “when a client asks.” Every week, on a fairly predictable cadence. That is the job your first assistant should be built for.

If you’re a content creator who ships three Reels a week, “Reel Hook Co-pilot” is a weekly job. If you’re a freelancer sending four proposals a week, “Proposal Writer” is a weekly job. If you’re running a D2C brand and writing two product descriptions a week, that is a weekly job. If you cannot name a task that hits this bar, honestly, you don’t need a subscription yet. Come back when you do.

Cost vs. depth: why ₹99 changes the math

At a typical SaaS price of ₹2,000 a month, you have to justify the spend. You build ROI sheets in your head: will this save four hours? Will it generate one extra client? At ₹99/month, that math is silly. If the assistant saves you thirty minutes in an entire month, it has paid for itself roughly ten times over at any reasonable hourly rate.

So the real question stops being “is it worth the money.” The real question is whether you’ll actually open the tab. The deciding factor is frequency of use, not depth of value. A brilliant assistant you forget to open is worse than a decent assistant you open three times a week. ₹99 isn’t a financial decision. It’s a habit decision.

Read the long description, not the title

The title is bait. Every assistant on the catalog has a one-line title that sells a category: “Cold Email Closer,” “Reel Hook Co-pilot,” “Founder’s LinkedIn Voice.” Titles are useful for finding a candidate, but they tell you nothing about whether this specific assistant matches your specific job.

The long description is where the work is. It tells you exactly what the assistant does, what inputs it expects, and when to reach for it. Read it once, slowly. Then ask a simple question: if I had this tab open right now, would I use it before lunch? If the answer is a clean yes, that’s your candidate. If you’re hedging with “maybe next week, when the new campaign starts,” it’s the wrong pick. Move on.

Start with ONE, not three

The most common failure mode we see is the three-subscription bundle. A new user signs up, gets excited, picks one assistant for marketing, one for sales, and one for operations, and ends up using none of them. A month later all three get cancelled and the conclusion is “this just didn’t work for me.”

It worked fine. The buyer just spread their attention across three new habits at once, and habit formation does not scale that way. Pick one assistant. Run it for a full thirty days against the weekly job you identified earlier. Open it every time that job comes up, even if you’re in a rush. After thirty days you will know two things: whether you actually use it, and whether it improves the output. Only then add a second.

Do this once and you’ll save yourself a year of subscription churn. Subscribe slowly. Cancel without guilt. Keep the ones you reach for.