AI-led growth · AI features
AI features that grow a product
The AI features that grow a product each do a real job for the user. They get a new user to a first win fast, shape the product to each person, or do work the user would pay for. A chat box added for show does none of that. Start with one feature.
Six AI features that earn their place
AI onboarding
The product asks a few questions, then sets itself up for the user. They reach a first result in minutes.
AI personalisation
Each user sees the next step that fits them, based on their goal and what they've done so far.
Answers from your content
Users ask a question and get an answer drawn from your method, your lessons and your notes.
Drafts and first passes
The AI writes the plan, the report or the reply. The user edits it, which is far easier than starting from a blank page.
Check-ins and nudges
The product notices when someone stalls and sends the right prompt to get them moving.
Summaries
Long calls, long docs and long threads turn into a short list of what matters and what to do next.
What makes an AI powered app worth paying for
An AI powered app is only as good as the job its AI does. Use these four checks before you build any feature.
It saves real time
The user gets something done faster than they could alone.
It uses what only you have
Your method and your content. That's why a general chatbot can't replace it.
It's right often enough
You test the answers on real cases before launch, and you keep testing.
It costs less than it earns
You know the AI running cost per user, and your price covers it.
AI personalisation and AI onboarding: start here
If you sell a program, these two features do the most for growth. Onboarding gets people to a first win. Personalisation keeps them coming back.
Onboarding gets the first win
A new client answers a few questions and gets a plan built from your method on day one.
Personalisation keeps them going
The product picks the next lesson or task for each person, the way you would in a session.
Together they grow the product
People who get a win early and feel known tend to stay, pay and tell others.
How to pick your first AI feature
- 01
List the repeat jobs
Write down what you do for every client, every time.
- 02
Pick one with clear value
Choose the job clients thank you for most. Low risk if the AI gets it a bit wrong.
- 03
Test it by hand
Run your method through an AI model on real cases. See if the answers hold up.
- 04
Build a small version
One platform, one core workflow. Put it in front of real users.
Your next step
The 30-Day Prototype Launch
Know the feature you want? We build a working first version in 30 days.
- One platform
- One core workflow
- Up to 2 user roles
- 1 integration
- 2 revision rounds
- 30 days of fixes
- Price
- $18,400
- Timeline
- 30 days
Fixed price, fixed scope. Bigger builds are quoted.
★ Keep reading
More in the AI-led growth guides
AI-led growth
The main guide: growth that comes from AI built into your product.
Read more →AI-native companies
What AI native means and how to become one.
Read more →AI for business: build, buy or wait
Three honest options and how to choose.
Read more →Build vs buy: AI features
When to buy an AI feature and when to build it.
Read more →What is AI-assisted onboarding?
A closer look at onboarding with AI.
Read more →Types of AI personalisation
The main kinds, with mobile app examples.
Read more →Questions, answered
What are AI features?
AI features are parts of a product where AI does a job for the user. It might answer a question, write a draft, pick the next step or sum up a long doc. The rest of the product is normal software.
Which AI features help a product grow?
The ones that get a new user to a first win and keep them coming back. AI onboarding and AI personalisation do the most. Answers from your own content and first-pass drafts come next.
What is an AI powered app?
It's an app where AI does part of the core job. A good one uses your own method and content, so it gives answers a general chatbot can't.
What is AI personalisation?
AI personalisation means the product changes for each user. It looks at their goal and what they have done, then shows the step that fits.
What is AI onboarding?
AI onboarding uses AI to set a new user up. It asks a few questions, then builds their plan or fills in their account. They get value in the first session.
How much does it cost to build an AI feature?
A 30-Day Prototype Launch is $18,400. That covers one platform, one core workflow, up to 2 user roles, 1 integration, 2 revision rounds and 30 days of fixes. Bigger builds are quoted.
Should I build an AI feature or buy one?
Buy it if the job is common and good enough is fine. Build it if the feature runs on your method and is the reason people pay. Our build vs buy post goes deeper.