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How we turn raw Customer Bug Reports into merged PRs with the Nora Software Factory
What it takes for a customer ticket nobody has picked up to fix itself.
Oct 21
•
Meeraa Ramakrishnan
and
Tushar Amrit
3
2
Classifying Emails with Jev and the OpenAI Decisions API
Benchmarking the best decision models on our internal email classification datasets.
Oct 8
•
Shrivu Shankar
4
2
September 2026
How we cut our coding-agent costs by 68% with prompt-based routing
How much model does a one-line fix actually need?
Sep 26
•
Meeraa Ramakrishnan
and
Ritik Tyagi
2
1
August 2026
Friend or foe: teaching a model how to trust
How do you spot a threat that looks like a friend?
Aug 28
•
Andrew Schloss
and
Meeraa Ramakrishnan
5
2
Agent Reliability Is a Distributed Systems Problem
From Kafka retries to durable workflows: how Abnormal rebuilt its agent platform to survive failure without losing progress
Aug 13
•
Jethro Kuan
and
Priya Kamdar
8
1
July 2026
Make Every PR Prove Itself
How we review 200+ agent-written pull requests a day with conclusive proof and a custom testing harness.
Jul 31
•
Michel Chatmajian
7
2
How We Made Multilingual Embeddings Work at 60,000 Queries a Second
At our scale, an embedding model has to be nearly free to run and still smart enough to be worth running. Here's how we got both.
Jul 20
•
Udayan Sarin
and
Meeraa Ramakrishnan
7
2
May 2026
Nora, Our First Agent Employee
How a Slack bot grew into the agent platform that runs Abnormal.
May 4
•
Abnormal AI
and
Shrivu Shankar
14
2
April 2026
Specs, Not Sprints
The playbook we use to ship products fast with AI.
Apr 20
•
Abnormal AI
and
Rishi Kavikondala
13
1
Going to Market with Go-To-Market Engineering
Understanding the human component of AI transformation.
Apr 3
•
Abnormal AI
and
Mickey
8
1
March 2026
Piecing the Puzzle of GTM Engineering
What is the team actually building?
Mar 16
•
Abnormal AI
and
Mickey
5
1
GTM Engineering With AI, Abnormally
Why we choose to build in-house and how our AI development gets better with every project.
Mar 9
•
Abnormal AI
and
Mickey
10
4
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