Aakash Gupta Profile picture
Jun 15, 2023 7 tweets 3 min read Read on X
Google Search as we know it is dead.

In Google 2.0, Gen AI & Search will be integrated.

Here's how to master it before it becomes the new reality: Image
1. Practice

This experience is already available. You can get ahead of 99% of people by practicing for this future:

⃯1. Sign up for the labs waitlist: labs.google.com/search
2. Click the labs icon and turn on SGE
3. Begin

(The waitlist is just a few days.)
2. Master The Basic Mechanic

Use the chat bot when that suits your purposes. Use search when that does.

You can follow up with the chatbot like with Bard or ChatGPT. It keeps up with context about what the subject is:
3. Refresh to Get New AI responses

If you don't love the generated AI response, you can just hit the refresh button in your browser.

It will generate a new AI response.
4. Avoid Complex Prompts

Currently, prompts are limited to 32 words.

The mega-prompts that are for ChatGPT don't work too well here. Save those for chatbot only experiences.
5. Use it to Personalize

The problem with search results is that they are generic. What's a good restaurant to you and your parents is totally different.

The generative AI can help personalize to you; here, "a SF foodie:"
Here's how to succeed in the future of Search + Gen AI:

1. Sign up to practice
2. Master the basic mechanic
3. Refresh for new AI responses
4. Avoid complex mega-prompts
5. Use the AI to personalize results Image

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More from @aakashg0

Apr 17
OpenAI released that there will be 5 levels of AGI.

If you want to build the future of AI, you should deeply understand it.

We are just crossing step 2 of 5 to AGI.

Yet, somehow, teams are still building like we are in levels 1 or 3.

Let me explain: Image
LEVEL 1: CONVERSATIONAL AI

Remember those awkward chatbots from 2019?

They sounded human...until they didn’t.

You’d ask for help…
They’d return gibberish.
That’s Level 1.

Might be useful but it can't be your strategic moat.
LEVEL 2: REASONING AI

This is where we are right now and it’s the real unlock.

Today’s top models (like GPT-4.1, released this week) can:

→ Break down complex problems
→ Think like PhDs
→ Make sense of ambiguity
→ Power analytics, personalization & decision support
Read 7 tweets
Feb 24
I've seen my fair share of product development processes.

JPD's approach stands out as particularly principled and well thought out.

Here are the five most important things about how they build product: Image
𝗙𝗮𝗰𝗲𝘁 𝗢𝗻𝗲 - 𝗧𝗵𝗲 𝗟𝗶𝗴𝗵𝘁𝗵𝗼𝘂𝘀𝗲 𝗣𝗵𝗶𝗹𝗼𝘀𝗼𝗽𝗵𝘆

As Catalin Bridinel, Head of Design, explains:

"The product is a ship, and the user is a lighthouse that gives you direction."

This is more than a cute metaphor - it's a fundamental operating principle.
It manifested, for instance, in the early access program stages:

Step 1 - Deep dive with 10 carefully selected customers
Step 2 - Expand to 100 customers for broader validation
Step 3 - Then 1000 and GA

And it does in a million little other ways.
Read 13 tweets
Feb 14
Most people are still prompting wrong.

I've found this framework, which was even shared by OpenAI President Greg Brockman.

Here’s how it works: Image
𝗧𝗵𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴

4 words in lowercase doesn’t work.

If you want to write a PRD, or a product strategy, or something for work, you have to help the LLM get your context.

This is done in 4 parts.
𝗢𝗻𝗲 - 𝗚𝗼𝗮𝗹

LLMs know millions of ways to complete a task.

Clear goal language helps them narrow in on the way you want them to.

EG: “I want to create a Google-level Product Requirements Document for: <Feature>”
Read 9 tweets
Jan 26
We’ve been sold a million use cases for PMs to use AI.

For my money, here are the top 5: Image
AI won’t replace PMs.

But PMs who use AI will replace PMs who don’t.

You don’t even need to learn coding to join the AI revolution.

There’s one archetype taking over in organizations right now: the AI-powered PM.

Here are the top 5 ways AI-powered PMs are changing the game: Image
USE CASE ONE - PRDs

Last month, I shadowed a PM at a FAANG company.

Their first AI prompt? Beautiful but completely wrong.

So how you use it matter more than just using it to write PRDs.

Here’s the game-changing mega-prompt that fixed it:
Read 13 tweets
Dec 31, 2024
Used right, OKRs can be the most powerful product process.

But most orgs completely mess them up.

From driving empowerment to becoming tools for control…

Here’s what you need to know about when to add or remove OKRs: Image
𝗧𝗵𝗲 𝗗𝗲𝗯𝗮𝘁𝗲 𝗔𝗿𝗼𝘂𝗻𝗱 𝗢𝗞𝗥𝘀: 𝗔 𝗗𝗲𝗲𝗽𝗲𝗿 𝗧𝗿𝘂𝘁𝗵 𝗔𝗯𝗼𝘂𝘁 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁

The conversation around OKRs reveals a fundamental truth:

Alignment mechanisms aren’t one-size-fits-all.

Take Ramp, for example.

They built a $10B company without OKRs.
Their secret?

→ Exceptional product sense.

→ Metrics so clear that every team understood what success looked like without needing a formal framework.

Now look at Google.
Read 14 tweets
Dec 29, 2024
If you want to move from a PM to a product leader, there’s one skill you absolutely need to master:

Product processes.

Here are the 12 most essential ones to drive impact, speed, and quality: Image
𝗢𝗡𝗘 - 𝗢𝗞𝗥𝘀

→ When to Add: When your team is growing fast, shifting priorities, or you need a system to track progress across teams.

→ When to Drop: If OKRs become a never-ending admin task and feel disconnected from day-to-day work, it’s time to simplify.
𝗧𝗪𝗢 - 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗥𝗲𝘃𝗶𝗲𝘄𝘀

→ When to Introduce: Use them to coach junior PMs or align teams during fast-paced iterations.

→ When to Cut Back: If Product Reviews start stifling creativity or become a micromanagement, it’s time to rethink.
Read 14 tweets

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