Nimit Savant 🥑

Building - Agentic AI For Good

I think, I write and my agents acts 🧩

Dev Evangelist @DevRev

[Nimit Savant 🥑 @SavantNimit]

🚀 Last week, I joined a Saturday hackathon with a simple mission: help new AI tools get the adoption they deserve.

I built an @apify actor that scrapes top AI tools + surfaces developer-friendly use cases — making it easier for creators & devs to share practical, educational content.

Thrilled to make it to the TOP 10!
Big thanks to @hackthisfall x Apify 🌻

#AI #Apify #Hackathon #DevRel #DeveloperTools #BuildInPublic #AITools

[Nimit Savant 🥑 @SavantNimit]

New fav #coke

[Nimit Savant 🥑 @SavantNimit]

Day 1 Myeong-dong Seoul fas fas

#seoul #mcpcon

[Nimit Savant 🥑 @SavantNimit]

Seoul we come here 🌻

[Nimit Savant 🥑 @SavantNimit]

Took the sky train quickly, singapore airport is cool.

[Nimit Savant 🥑 @SavantNimit]

Same question asked by support vs sales should not always return the same answer.

Permission-aware agents are not a feature checkbox.
They are the difference between a demo and a deployable teammate.

[Nimit Savant 🥑 @SavantNimit]

@ashwinexe @GradiumAI Congratulations and celebrationsssss

[Nimit Savant 🥑 @SavantNimit]

Run it here:
https://t.co/WyJFbeN9SQ

If you want to compare harness notes or share what broke:
https://t.co/Z0EncPK4Id

[Nimit Savant 🥑 @SavantNimit]

If you trust your agent harness, run it on messy enterprise work.

Support + sales + eng context.
Precision, cost, permissions.

Harbor Hub is open. Bring your harness. Break ours. Improve both.

[Nimit Savant 🥑 @SavantNimit]

Coding benchmarks test if a model can solve problems.

Enterprise work asks if an agent can join tickets, revenue, and permissions without blowing the token budget.

Different exam. Different winners.

[Nimit Savant 🥑 @SavantNimit]

We held the model constant and changed the tool surface.

Interface effect: about 18 points.
Also about 2x better token efficiency.

If you are still debating GPT vs Claude for enterprise agents, you are measuring the wrong layer.

[Nimit Savant 🥑 @SavantNimit]

A precise but expensive agent will not scale.
A cheap agent that ignores permissions cannot be deployed.
A safe agent with unstable answers cannot be trusted.

Precision, efficiency, and safety belong together.
Measure all three or you are kidding yourself.

[Nimit Savant 🥑 @SavantNimit]

unpopular opinion, if you release mass today, it's going to earn atleast 200 cr in theaters without promotion

[Nimit Savant 🥑 @SavantNimit]

Agentic AI For Good: https://t.co/m6Te2uJ5lA

[Nimit Savant 🥑 @SavantNimit]

The same pattern that makes enterprise agents useful makes agents for good possible.

Understand the context.
Remember what matters.
Act with intent.

Whether you serve a CIO or a community organizer, the harness is the product.

[Nimit Savant 🥑 @SavantNimit]

Run it here:
https://t.co/WyJFbeN9SQ

Methodology:
https://t.co/H9aZi2T6AM

[Nimit Savant 🥑 @SavantNimit]

The best developer stories are reproducible.

Enterprise-Bench is our attempt to make agent claims reproducible:
fragmented data, siloed systems, permission boundaries, cost, auditability.

Not vibes. A standard you can run.

[Nimit Savant 🥑 @SavantNimit]

The best framing for enterprise AI is not automation.
It is amplification.

An AI teammate that searches, answers, reasons, and acts with shared context.
The goal is not fewer humans.
It is humans doing less mechanical coordination.

[Nimit Savant 🥑 @SavantNimit]

Run it here:

Harbor Hub: https://t.co/WyJFbeN9SQ
Builder Discord: https://t.co/Z0EncPK4Id

[Nimit Savant 🥑 @SavantNimit]

AI demos are easy.
Adoption is harder.

Enterprise-Bench exists so agent claims can be inspected, challenged, and run.

Who is brave enough to be benchmarked?

[Nimit Savant 🥑 @SavantNimit]

Agent discourse keeps circling back to the same point.

Most people will hear model news.
The real game is tool shape, memory, and permissions.

That is what we measure with Enterprise-Bench.