Shashank Agarwal

Founder & CEO, Noveum AI; creator of API.market. Ex-AWS SageMaker launch team. Author of Intelligence at Scale. I write about production AI, agent evaluation and API infrastructure.

Joined on Mar 12, 2024 https://www.linkedin.com/in/shashankagarwal2/

Education

Master's degree in computer science, The Ohio State University

Work

Founder & CEO, Noveum AI | Creator, API.market

Shashank Agarwal

Oct 29

HTTP Success Is Not Agent Success: A Reproducible Python Acceptance Lab

#python

11 min read

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Shashank Agarwal

Oct 29

Document API Changes Without Rewriting History

#api

2 min read

Shashank Agarwal

Oct 29

Make API Usage Reports Useful to the Person Paying

#api

2 min read

Shashank Agarwal

Oct 29

Review the Billing Contract Before Integrating an API

#api

2 min read

Shashank Agarwal

Oct 29

What to Show Beside an Example API Response

#api

2 min read

Shashank Agarwal

Oct 29

Turn an API Support Question Into a Documentation Fix

#api

2 min read

Shashank Agarwal

Oct 29

An API Error Message Is Part of the Product

#api

2 min read

Shashank Agarwal

Oct 29

Connect a Marketplace to Agents Without Hiding Limits

#mcp

2 min read

Shashank Agarwal

Oct 29

A Practical Acceptance Test for a Tool-Using Agent

#mcp

2 min read

Shashank Agarwal

Oct 29

Document an MCP Gateway for a New Developer

#mcp

2 min read

Shashank Agarwal

Oct 29

Tool Availability and Permission Are Different Questions

#mcp

2 min read

Shashank Agarwal

Oct 29

What Human Approval Should Show Before a Tool Action

#mcp

2 min read

Shashank Agarwal

Oct 29

Choose an API With an Agent and Review the Choice

#mcp

2 min read

Shashank Agarwal

Oct 29

Handle an Empty Tool Result Without Inventing an Answer

#mcp

2 min read

Shashank Agarwal

Oct 29

Use a Small API Workflow as the First Agent Test

#mcp

2 min read

Shashank Agarwal

Oct 29

What to Record When an Agent Calls a Paid Tool

#mcp

2 min read

Shashank Agarwal

Oct 29

When an Agent Should Stop Before Spending Money

#mcp

2 min read

Shashank Agarwal

Oct 29

Describe Tool Inputs So Agents Can Use Them Correctly

#mcp

2 min read

Shashank Agarwal

Oct 29

A First-Call Checklist for an Agent Using a New API

#mcp

2 min read

Shashank Agarwal

Oct 29

Authentication Does Not Settle API Pricing

#mcp

2 min read

Shashank Agarwal

Oct 29

Tool Discovery Should End With a Checkable Result

#mcp

2 min read

Shashank Agarwal

Oct 29

One MCP Connection Still Contains Many Product Decisions

#mcp

2 min read

Shashank Agarwal

Oct 29

How to Explain a Technical Company Without Hype

#startup

2 min read

Shashank Agarwal

Oct 29

Choosing the Customer for an Infrastructure Product

#startup

2 min read

Shashank Agarwal

Oct 29

The Difference Between Launching and Operating a Product

#startup

2 min read

Shashank Agarwal

Oct 29

A Founder’s Guide to Recognizing a Useful Pivot

#startup

2 min read

Shashank Agarwal

Oct 29

Before Turning an Internal Service Into a Product

#startup

2 min read

Shashank Agarwal

Oct 29

What a Senior Engineer Adds to a Founding Team

#startup

3 min read

Shashank Agarwal

Oct 29

Why I Built API.market After PipFeed

#startup #ai

4 min read

Shashank Agarwal

Jan 1

The AI Agent Feedback Loop: From Findings to Reviewed Changes

#webdev #ai #programming #devops

2 min read

Shashank Agarwal

Dec 31 '25

Monitoring and Evaluation: Connecting Execution to Agent Outcomes

#ai #webdev #programming #devops

2 min read

Shashank Agarwal

Dec 29 '25

How to Scale Agent Evaluation Without Losing the Evidence

#ai #webdev #programming #devops

2 min read

Shashank Agarwal

Dec 26 '25

Privacy and Policy Review Signals in AI Agent Traces

#privacy #agents #security #ai

2 min read

Shashank Agarwal

Dec 24 '25

How to Measure the Cost of an Agent’s Captured Workflow

#webdev #ai #programming #devops

2 min read

Shashank Agarwal

Dec 22 '25

Five Agent Failure Categories and the Evidence Each Needs

#discuss #ai #machinelearning #agents

2 min read

Shashank Agarwal

Dec 19 '25

How to Investigate Agent Failures With Captured Traces

#ai #testing #agents #webdev

2 min read

Shashank Agarwal

Dec 17 '25

Beyond Accuracy: Choosing the Right Dimensions of AI Agent Quality

#ai #agents #machinelearning #programming

2 min read

Shashank Agarwal

Dec 15 '25

Using System Prompts in Evaluation Without Discarding Reviewed Evidence

#ai #programming #tutorial #agents

2 min read

Shashank Agarwal

Dec 12 '25

Evaluate Agent Outcomes and Tool Use Together

#ai #llm #agents #machinelearning

2 min read

Shashank Agarwal

Dec 10 '25

A Small, Runnable Evaluation Harness for an Agent Tool Workflow

#ai #llm #programming #machinelearning

3 min read

Shashank Agarwal

Dec 10 '25

System Prompts Define Instructions. Factual Evaluation Needs Evidence.

#testing #agents #llm #ai

2 min read

Shashank Agarwal

Dec 8 '25

Model Evaluation and Agent Evaluation: Choosing the Unit

#ai #agents #llm #automation

2 min read

Shashank Agarwal

Apr 4 '25

A Bolt and API.market Prototype: What to Check Before Sharing

#ai #vibecoding #webdev

2 min read

Shashank Agarwal

Mar 13 '24

Building api.market. Anyone Interested?

#api #startup #ai

1 min read

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