Ish Jindal

Hustler, Traveler, Freedom-seeker, working on @hellotars_ai

[Ish Jindal @jindalish]

@LoganTGott Funnel

[Ish Jindal @jindalish]

@alokebajpai @rajnishkumar Used it, works really well.

[Ish Jindal @jindalish]

I remember a lot a lot of e-commerce companies, coming to us back in 2018-19, asking if they could do the entire buying experience on chat.

I always used to be like - Do you want to buy t-shirts over a chat interface? No, right?

Chat is not the best experience for everything.

Chat is a really, really beautiful interface for a lot of use cases, but for e-commerce it's definitely not the best interface.

You could possibly do it if you have a very small number of SKUs, but if you have anything more than ten SKUs, chat is probably not the best medium.

[TBPN @tbpn]

"I do not think a chatbot is the right interface for travel or e-commerce." - @bchesky

"I think the future is not apps. The future is agents, but I don't think they're going to be text-forward. I think they're going to be really rich user interfaces."

"Imagine using iMessage to do everything, when in fact every other app has a unique interface."

"With e-commerce, you want a very rich user interface. It would be agentic. You can have a conversation with it, but the point is that it has to be more visual."

[Ish Jindal @jindalish]

@prasanna_says @upekkhaBe Sure lets do this

[Ish Jindal @jindalish]

I have been doing this myself for GTM functions for the last couple of months and can see that this could be a dedicated role in itself.

Expecting everyone in the team to be on claude code or build agents with all the context seems unrealistic.

[Aaron Levie @levie]

Starting to hire and retrain for new agent engineering roles for *internal* functions to help get more powerful agents working well on critical business processes. I expect this type of role to be a very big deal over time at Box and other companies.

It looks something like an internal FDE, whose job it is to wire up internal systems and get agents working with them effectively. The person will be extremely technical and capable of building secure, governed agents for internal workflows that connect to business systems (like Box, Salesforce, Workday, etc.), and codify workflows in skills.

In some cases this person may understand the business process well enough to do it fully, but in most cases I expect them to work with the business directly in an embedded fashion. Ironically, that may introduce another new role on the business side that is more akin to agent product management for internal processes. The key is that you need technical + process people that can span multiple teams or functions in an organization. It’s not about brining automation to a job, but bringing automation to a process.

This is going to be a very big trend in most companies going forward. Fun to watch the early innings of what this will look like.

[Ish Jindal @jindalish]

@thepmfguy No sunset for you then

[Ish Jindal @jindalish]

AI rate limit is just the universe telling you to go watch the sunset

[Vinit Agrawal 🌌 @vinit_agr]

One more game made talking to my @openclaw bot on @telegram. Here you go, try it: https://t.co/jcDn7mY2gV

[Lincoln @flabbytofit99]

Fatherhood changes your priorities in ways you can't understand until it happens.

Here's what I mean:
BEFORE KIDS:

Success = How much money I make
Free time = Whatever I want to do
Weekends = Sleeping in, doing nothing
My body = Doesn't really matter
Patience = Not something I thought about

AFTER KIDS:

Success = Being the dad they brag about
Free time = Playing with them on the living room floor
Weekends = Pancakes at 7 AM, park trips, exhaustion
My body = The tool I use to keep up with them
Patience = The most important skill I'm building
Before: I worked out to look good.
After: I work out so I can throw my kids in the air without getting winded.

Before: Sleep was negotiable.
After: 7 hours is non-negotiable because they need me present, not exhausted.

Before: My time was mine.
After: Their childhood is happening right now, and I can't get it back.
The shift isn't instant. It's gradual.

One day you realize:

That promotion you were chasing? Doesn't matter if you miss their childhood getting it.

That extra hour of sleep? Not worth missing breakfast with them.

That workout you skipped? You felt it when they asked you to play and you were too tired.
Fatherhood doesn't make you soft. It makes you focused.

Suddenly, everything has to pass through one filter:

"Is this helping me be the father they deserve?"

If the answer is no, it's gone.

That's not sacrifice. That's clarity.
The things that used to matter (impressing people, keeping up appearances, chasing status) just... don't anymore.

What matters now:

• Can I keep up with my kids?
• Am I patient when they're not?
• Am I present or distracted?
• Am I modeling the man I want them to become?
• Will they remember me as someone who showed up?

That's it. That's the list.
Fatherhood didn't change my priorities.

It revealed what they should have been all along.

[Ish Jindal @jindalish]

@tankots I was showing Wispr to my dad just today.

Congratulations on the raise, crazy good product.

[Ish Jindal @jindalish]

@shubhmx @OpenAI @AnthropicAI @vercel @Cloudflare @NotionHQ @LumaHQ Agree, just attended an event at AGI house today without registering for it in advance.

[TARS @hellotars_ai]

"The most important thing is providing a great experience to the end user. Get that right, and conversion rates fall into place."

This is what 10 years of building Conversational AI taught us. Here's what changed with AI Agents 👇

[TARS @hellotars_ai]

We're hosting a webinar with our CTO @vinit_agr, on how banks are actually using AI Agents today.

Not future vision. Real implementations solving real problems.

Join us on 23rd October at 9 AM EDT

Register: https://t.co/0KIJEOWK2q

#AI #Banking

[TARS @hellotars_ai]

Join @vinit_agr, CTO of Tars, on 23rd October at 9 AM EDT for an exclusive session on how AI Agents are changing commercial banking.

We'll examine real-world applications and demonstrate what's possible today.

Register here: https://t.co/0KIJEOWccS

#BankingSolutions #AI

[Ish Jindal @jindalish]

What we have been building with Tars 2.0

[Weaviate AI Database @weaviate_io]

Most AI agent platforms are built for engineers.

TARS is built for everyone else.

Meet 𝗧𝗔𝗥𝗦, built by @vinit_agr and @jindalish, a conversational AI platform that's making intelligent agents accessible to everyone, not just AI engineers.

What makes this different from your typical chatbot? TARS combines three powerful components:

🧠 𝗔𝗴𝗲𝗻𝘁: The brain that orchestrates decisions and planning
📚 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲: RAG-powered retrieval using vector search for accurate, contextual responses
🔧 𝗧𝗼𝗼𝗹𝘀: 300+ integrations including Google Sheets, Notion, and CRMs

The platform uses Weaviate as its vector database backbone for semantic and hybrid search capabilities, allowing agents to retrieve relevant information from your business documents, websites, and PDFs with impressive accuracy.

But here's the really cool part - ✨𝘁𝗵𝗲 𝗮𝘂𝘁𝗼-𝗽𝗿𝗼𝗺𝗽𝘁 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗳𝗲𝗮𝘁𝘂𝗿𝗲✨. We all know writing effective prompts is super challenging, so TARS automatically generates optimized prompts and welcome messages based on your high-level instructions.

Real-world applications we're seeing:
• Documentation assistants that can answer complex technical questions
• Lead capture systems that seamlessly integrate with your CRM
• Customer support agents with access to your knowledge base
• Multi-modal agents that can handle text, images, and more

The live demo showcases an agent trained on Weaviate documentation that could both answer technical questions and capture lead information to Google Sheets - all within a single conversational flow.

This is exactly the kind of innovation that's making AI agents accessible to businesses without requiring a team of ML engineers 💚

Huge congrats to the TARS team for showcasing this at AWS Demo Night!

Check out TARS at https://t.co/XEEbxsk6uz and start building your own conversational agents today.

Watch the full AI Engineer Spotlight video: https://t.co/64z1RZnImE

[Weaviate AI Database @weaviate_io]

Most AI agent platforms are built for engineers.

TARS is built for everyone else.

Meet 𝗧𝗔𝗥𝗦, built by @vinit_agr and @jindalish, a conversational AI platform that's making intelligent agents accessible to everyone, not just AI engineers.

What makes this different from your typical chatbot? TARS combines three powerful components:

🧠 𝗔𝗴𝗲𝗻𝘁: The brain that orchestrates decisions and planning
📚 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲: RAG-powered retrieval using vector search for accurate, contextual responses
🔧 𝗧𝗼𝗼𝗹𝘀: 300+ integrations including Google Sheets, Notion, and CRMs

The platform uses Weaviate as its vector database backbone for semantic and hybrid search capabilities, allowing agents to retrieve relevant information from your business documents, websites, and PDFs with impressive accuracy.

But here's the really cool part - ✨𝘁𝗵𝗲 𝗮𝘂𝘁𝗼-𝗽𝗿𝗼𝗺𝗽𝘁 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗳𝗲𝗮𝘁𝘂𝗿𝗲✨. We all know writing effective prompts is super challenging, so TARS automatically generates optimized prompts and welcome messages based on your high-level instructions.

Real-world applications we're seeing:
• Documentation assistants that can answer complex technical questions
• Lead capture systems that seamlessly integrate with your CRM
• Customer support agents with access to your knowledge base
• Multi-modal agents that can handle text, images, and more

The live demo showcases an agent trained on Weaviate documentation that could both answer technical questions and capture lead information to Google Sheets - all within a single conversational flow.

This is exactly the kind of innovation that's making AI agents accessible to businesses without requiring a team of ML engineers 💚

Huge congrats to the TARS team for showcasing this at AWS Demo Night!

Check out TARS at https://t.co/XEEbxsk6uz and start building your own conversational agents today.

Watch the full AI Engineer Spotlight video: https://t.co/64z1RZnImE

[Juliana Hahn | Viral growth for SaaS @juliana_hahn_]

From "can't afford a flight" to $1M+ bootstrapped.

Last week on Startup Strategies, I spoke with @jindalish CEO and co-founder of @hellotars_ai.

Ish skipped his BBC interview 'cause he couldn’t afford the ticket, then spent nine years building Tars.

Watch the full breakdown👇

[Ish Jindal @jindalish]

@7shubhs And more difficult to get.

[TARS @hellotars_ai]

We're pulling back the curtain on Tars 2.0 with our CTO, Vinit, on September 25th at 9:00 AM EDT.

He's bringing the engineering team to showcase the complete transformation of how you can build Conversational AI Agents with Tars 2.0.

Register here: https://t.co/rDiRXcfaac

[TARS @hellotars_ai]

Our CTO, @vinit_agr, and engineering team are demonstrating how Tars 2.0 represents a shift in the Conversational AI space.

Join us on September 25th, 9:00 AM EDT, to understand the latest feature additions and the 'why' behind those.

Register: https://t.co/rDiRXcfHZK