Agentic User Research

The World's first Agentic Voice AI for User Research.
SaaS + CLI version available 💬🤳
Real Conversations, Authentic Insights.

[Agentic User Research @CookiyAI]

Founders who succeed aren’t just great builders,
they deeply understand their target customers.

Concept validation comes before writing code.

[Agentic User Research @CookiyAI]

Still relying on slow, expensive market research agencies?

You don’t need to waste weeks waiting for reports.
Talk directly to your target users and get real insights within 24 hours.

[Agentic User Research @CookiyAI]

Apps are easier than ever to build.
The real challenge?
Reaching your audience and validating demand.

[Agentic User Research @CookiyAI]

Test whether your business idea has real demand within 24 hours, here’s the playbook！

[Agentic User Research @CookiyAI]

Do you know that you don’t need to write a single line of code to start a business.
In 2026, building is easy.
Validation is the real challenge.

[Agentic User Research @CookiyAI]

Getting addicted to vibe coding is a mistake! You’re missing the real value: access to real customers and the market.

[Agentic User Research @CookiyAI]

Chat AI helps you explore ideas,
and this is not market research.
exploration ≠ validation.
Cookiy AI gives you real insights from authentic users, not just generated answers.

[Agentic User Research @CookiyAI]

Reality check:
If you’re only building with your AI agent,
no one wants your app or dashboard.

And NO ONE’s going to PAY FOR it.

Cookiy lets you talk to real users, validate faster, and build what actually wins.

Comment “𝑪𝒐𝒐𝒌𝒊𝒚” to get the GitHub link you can plug into your everyday AI agent.

[Agentic User Research @CookiyAI]

People don’t fail because they can’t build.
They fail because they build the wrong thing.

Before the app:
talk to users
Before scaling:
validate demand

Research → validate → growth → scale

That’s how big ideas win.

[Agentic User Research @CookiyAI]

From 48 interviews:
→ Moat: X integration
→ Risk: editing tax

When fixing > saving,
users switch.

Most AI teams chase intelligence.
Users want time-to-usable output.

This entire study (48 interviews) ran in hours with Cookiy

Want to test your own?
👉 https://t.co/QIFur4JmIW

[Agentic User Research @CookiyAI]

Grok wins ONE moment: 𝐢𝐧-𝐟𝐞𝐞𝐝 𝐬𝐞𝐧𝐬𝐞𝐦𝐚𝐤𝐢𝐧𝐠 𝐨𝐧 𝐗, 𝐚𝐧𝐝 𝐥𝐨𝐬𝐞𝐬 𝐚𝐥𝐦𝐨𝐬𝐭 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐞𝐥𝐬𝐞 𝐭𝐨 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐚𝐧𝐝 𝐂𝐥𝐚𝐮𝐝𝐞.
That's a headline finding from a new study of 48 heavy Grok users.
Agree? Disagree?

[Agentic User Research @CookiyAI]

What 48 heavy Grok users actually do:
They don’t replace ChatGPT.
They route around it.

Grok = speed
• Summarize threads in-feed
• Check live context instantly
• Brainstorm like a peer

ChatGPT / Claude = certainty
• Structure
• Depth
• Accuracy

But here’s the tradeoff:
Grok is faster.
So users double-check it.
They use Grok → then verify elsewhere.

That loop has a cost:
editing tax
And once it’s high enough,
speed stops mattering.

[Agentic User Research @CookiyAI]

@grok @xai @ChatGPTapp @claudeai Beyond the Grok experience within X, we just ran a double-blind user research study on how users perceive Grok TTS compared to three other top TTS models, and will publish the results soon.

[Agentic User Research @CookiyAI]

Grok @grok @xai isn’t competing with ChatGPT.
It’s competing for 𝐚 𝐦𝐨𝐦𝐞𝐧𝐭.

In a Cookiy study on Grok-heavy workflows, one pattern stood out:
People don’t use one AI.
They use a stack.

@ChatGPTapp / @claudeai = deep work
Grok = “𝑤ℎ𝑎𝑡’𝑠 ℎ𝑎𝑝𝑝𝑒𝑛𝑖𝑛𝑔 𝑟𝑖𝑔ℎ𝑡 𝑛𝑜𝑤?” inside X.

The difference isn’t intelligence.
I𝐈𝐭’𝐬 𝐩𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭.

Grok lives where attention already is:
No switching.
No friction.
No broken flow.

But placement alone doesn’t win.
Users use Grok → then verify elsewhere.
The second users have to verify, edit, or re-prompt,
the advantage disappears.
That’s the 𝐞𝐝𝐢𝐭𝐢𝐧𝐠 𝐭𝐚𝐱.

𝐈𝐟 𝐲𝐨𝐮 𝐝𝐨𝐧’𝐭 𝐨𝐰𝐧 𝐚 𝐦𝐨𝐦𝐞𝐧𝐭,
𝐲𝐨𝐮 𝐝𝐨𝐧’𝐭 𝐡𝐚𝐯𝐞 𝐚 𝐩𝐫𝐨𝐝𝐮𝐜𝐭.

See the full report: https://t.co/MG56GvKqfi

Want to test where your AI actually fits?
Run a Cookiy test.

[Agentic User Research @CookiyAI]

The most underrated AI feature? 𝐀 𝐦𝐮𝐭𝐞 𝐛𝐮𝐭𝐭𝐨𝐧.

We keep designing AI to be more talkative.
More proactive. More conversational. More “human.”

But in our user study, we saw the tradeoff clearly:
𝐖𝐡𝐞𝐧 𝐀𝐈 𝐢𝐧𝐭𝐞𝐫𝐯𝐞𝐧𝐞𝐬 𝐚𝐭 𝐭𝐡𝐞 𝐰𝐫𝐨𝐧𝐠 𝐦𝐨𝐦𝐞𝐧𝐭, it stops feeling helpful.
𝐈𝐭 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐚 𝐝𝐢𝐬𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧.

We tested an AI-adaptive personality test with a live voice companion.
Some users loved the speed and interactivity.
Others just wanted space to read, think, and answer without being interrupted.

That’s the UX lesson:
𝐓𝐡𝐞 𝐛𝐞𝐬𝐭 𝐀𝐈 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐬𝐧’𝐭 𝐚𝐛𝐨𝐮𝐭 𝐚𝐝𝐝𝐢𝐧𝐠 𝐦𝐨𝐫𝐞.
𝐈𝐭’𝐬 𝐚𝐛𝐨𝐮𝐭 𝐤𝐧𝐨𝐰𝐢𝐧𝐠 𝐰𝐡𝐞𝐧 𝐭𝐨 𝐩𝐚𝐮𝐬𝐞.

AI products don’t just need better intelligence.
They need better timing.

Don’t guess your AI feature.
Run a Cookiy test with @CookiyAI

Read the full report: https://t.co/uy347jf1YX

[Agentic User Research @CookiyAI]

$100K on market research? Don’t.
Cookiy saves your entire productivity.

[Agentic User Research @CookiyAI]

Struggling with your research project?
Cookiy supports you every step of the way:
design → recruitment → interviews → reporting.

[Agentic User Research @CookiyAI]

Rushing to “marry” your business idea?
Validate it before you commit!

[Agentic User Research @CookiyAI]

Apple’s next CEO has one job: 𝐦𝐚𝐤𝐞 𝐩𝐞𝐨𝐩𝐥𝐞 𝐞𝐱𝐜𝐢𝐭𝐞𝐝 𝐚𝐛𝐨𝐮𝐭 𝐀𝐩𝐩𝐥𝐞 𝐚𝐠𝐚𝐢𝐧！

We asked 50 Apple users what they want.
The surprise?
They didn’t ask for “𝐦𝐨𝐫𝐞 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧.”
They asked for Apple to 𝐬𝐭𝐨𝐩 𝐟𝐞𝐞𝐥𝐢𝐧𝐠 𝐞𝐱𝐡𝐚𝐮𝐬𝐭𝐢𝐧𝐠.

• 13/50 stay mainly because switching hurts
• 12/50 postpone OS updates
• 12/50 feel nickel-and-dimed by iCloud
• 8/50 disabled “smart” features after public embarrassment

The punchline:
“𝐀𝐩𝐩𝐥𝐞 𝐬𝐭𝐢𝐥𝐥 𝐨𝐰𝐧𝐬 𝐭𝐡𝐞 𝐞𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦. 𝐁𝐮𝐭 𝐢𝐭 𝐧𝐨 𝐥𝐨𝐧𝐠𝐞𝐫 𝐨𝐰𝐧𝐬 𝐭𝐡𝐞 𝐞𝐧𝐭𝐡𝐮𝐬𝐢𝐚𝐬𝐦.”

That should worry Cupertino more than any AI benchmark.

Full report → https://t.co/GCejUq5xJI
What would you tell Apple’s next CEO? Share your views → https://t.co/7BBvZW2vwU