Hustler, Traveler, Freedom-seeker, working on @hellotars_ai
Bangalore
Joined May 2013
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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.
"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."
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.
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 retweeted
One more game made talking to my @openclaw bot on @telegram. Here you go, try it: games.vinitagrawal.com/road-…
Ish Jindal retweeted
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 retweeted
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: us02web.zoom.us/webinar/regi…
#AI #Banking
Ish Jindal retweeted
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: us02web.zoom.us/webinar/regi…
#BankingSolutions #AI
What we have been building with Tars 2.0
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 hellotars.com and start building your own conversational agents today.
Watch the full AI Engineer Spotlight video: youtu.be/lpZ8tKpqaC8
Ish Jindal retweeted
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 hellotars.com and start building your own conversational agents today.
Watch the full AI Engineer Spotlight video: youtu.be/lpZ8tKpqaC8
Ish Jindal retweeted
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 retweeted
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: us02web.zoom.us/webinar/regi…
Ish Jindal retweeted
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: us02web.zoom.us/webinar/regi…
Ish Jindal retweeted
𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐢𝐬 𝐡𝐚𝐫𝐝. Prompt engineering is a nightmare, and connecting them to your data and tools is a complex mess.
What if you could solve all three at once?
That's exactly what I explored in my latest AI Engineer Spotlight episode with @vinit_agr and @jindalish , the creators of the conversational agent platform, hellotars.com/.
They’ve built a system that lets any developer create a sophisticated AI agent that can:
1️⃣ 𝐀𝐜𝐜𝐞𝐬𝐬 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞: We plugged in our entire Weaviate documentation, which Tars indexed into a vector database (powered by @weaviate_io! 🚀) for smart, accurate retrieval.
2️⃣ 𝐔𝐬𝐞 𝐓𝐨𝐨𝐥𝐬: The agent seamlessly captured my details and sent them to a Google Sheet—but it could just as easily be Salesforce or HubSpot.
3️⃣ 𝐓𝐡𝐢𝐧𝐤 & 𝐑𝐞𝐚𝐬𝐨𝐧: Tars’s prompt generator created the agent’s "brain" from a simple, high-level goal.
The result? A production-ready agent built in minutes, not weeks.
Check out the full episode to see how they're abstracting away the complexity of building conversational AI. Link in the comments!
Congrats to the Tars team on their incredible work!
Want to try out Weaviate? Create a free cluster today --> https://console[dot]weaviate[dot]cloud console.weaviate.cloud
Ish Jindal retweeted
Pratiksha from our Customer Success team has helped dozens of companies build and deploy Customer Support AI Agents.
On September 9th, she's hosting a webinar to showcase the entire process behind it.
Register:
us02web.zoom.us/webinar/regi…
#Webinar #AI #CustomerSupport
Ish Jindal retweeted
Missed our OrgAnswers AI Agent building session? The recording is now live on YouTube!
If you missed it or want to revisit any part, it's all there.
Check it out here: youtu.be/suNkWEfJ3Ww
#AI #AgenticAI #workflowautomation
Ish Jindal retweeted
Join @jindalish and Scott Newman, Enterprise Solutions Architect with Devonport City Council, on 28th August, at 5 PM AEST to learn how to build a travel AI Agent.
Scott will take us through the journey of creating Mersey, using Tars.
Register: us02web.zoom.us/webinar/regi…
#Agentic
Ish Jindal retweeted
🇮🇳 *Celebrating the 79th Independence Day at Zonal Office Ludhiana* 🇮🇳
Today, we proudly celebrated the 79th Independence Day at our Zonal Office in Ludhiana with great enthusiasm and patriotic spirit. I had the honor of hosting the national flag, a proud moment. 🇮🇳✨
Ish Jindal retweeted
Managing employee questions across the organization can be a pain.
Same questions. Same checklists. Same documents.
So, on August 18 at 9 AM EDT, we’re doing a live session to show you how to build your own OrgAnswers AI Agent with the Tars.
Register: us02web.zoom.us/webinar/regi…
Ish Jindal retweeted
See the live walkthrough ‘Building the OrgAnswers AI Agent without coding‘ on 18th August at 9 AM EDT!
Bani Chaudhuri (AI Agent wizard) who has been building Agents for months, will take you through the process in detail.
Register: us02web.zoom.us/webinar/regi…
#AgenticAutomation
