---
title: "Abdulwaheed A A (@habiz) | Hashnode"
description: "Building Products. Read the latest articles by Abdulwaheed A A on Hashnode."
url: "https://hashnode.com/@habiz"
---

@habiz

# Abdulwaheed A A

@habiz · Joined December 2020

Building Products

[Website](https://alayandeabiola.xyz/)

### [Why your agent's memory is a billing problem](https://leveragepoints.io/why-your-agent-s-memory-is-a-billing-problem?utm_source=hashnode&utm_medium=feed)

There is an interesting question I tackle most times when I am thinking through agent memory. Is it a capability question, a product question, a design question, or an experience question? The more I

5 min read · [leveragepoints.io](https://leveragepoints.io/why-your-agent-s-memory-is-a-billing-problem?utm_source=hashnode&utm_medium=feed)

[1](https://hashnode.com/posts/why-your-agent-s-memory-is-a-billing-problem/6ae34ba2eee12b21e97d59e9) [Oct 29](https://hashnode.com/posts/why-your-agent-s-memory-is-a-billing-problem/6ae34ba2eee12b21e97d59e9)

### [The cost asymmetry most product teams ignore: input vs. output pricing](https://leveragepoints.io/the-cost-asymmetry-most-product-teams-ignore-input-vs-output-pricing?utm_source=hashnode&utm_medium=feed)

When you pay for AI (LLMs), you may be paying for two different things. You pay to feed the model information. And you pay for what it writes back. Because it is not super clear, people treat these as

3 min read · [leveragepoints.io](https://leveragepoints.io/the-cost-asymmetry-most-product-teams-ignore-input-vs-output-pricing?utm_source=hashnode&utm_medium=feed)

[1](https://hashnode.com/posts/the-cost-asymmetry-most-product-teams-ignore-input-vs-output-pricing/6ac359955afc5e5ae4040c00) [Oct 5](https://hashnode.com/posts/the-cost-asymmetry-most-product-teams-ignore-input-vs-output-pricing/6ac359955afc5e5ae4040c00)

### [The hidden tax of poor product communication](https://leveragepoints.io/the-hidden-tax-of-poor-product-communication?utm_source=hashnode&utm_medium=feed)

Poor product communication rarely breaks things outright. Instead, it creates a steady, compounding tax that you often don't notice until it's expensive to unwind and chaotic for teams involve. Early

2 min read · [leveragepoints.io](https://leveragepoints.io/the-hidden-tax-of-poor-product-communication?utm_source=hashnode&utm_medium=feed)

[Sep 15](https://hashnode.com/posts/the-hidden-tax-of-poor-product-communication/6aa8ef7fc4c6bb5fb0c4aa79)

### [Why agentic products break your cost model](https://leveragepoints.io/why-agentic-products-break-your-cost-model?utm_source=hashnode&utm_medium=feed)

Teams building AI features usually cost models cost a simple assumption. One user sends one request and the model generates one response. You multiply that by your daily active users, add some margin,

5 min read · [leveragepoints.io](https://leveragepoints.io/why-agentic-products-break-your-cost-model?utm_source=hashnode&utm_medium=feed)

[Sep 7](https://hashnode.com/posts/why-agentic-products-break-your-cost-model/6a9e7b706766d2aa4c02e525)

### [What quantisation actually trades off and when that trade-off is yours to make](https://leveragepoints.io/what-quantisation-actually-trades-off-and-when-that-trade-off-is-yours-to-make?utm_source=hashnode&utm_medium=feed)

This is for people trying to run AI models locally on a personal machine. Say you want to run Llama locally on a MacBook Air, you visit Hugging Face and see a number printed on every model card that a

5 min read · [leveragepoints.io](https://leveragepoints.io/what-quantisation-actually-trades-off-and-when-that-trade-off-is-yours-to-make?utm_source=hashnode&utm_medium=feed)

[Sep 1](https://hashnode.com/posts/what-quantisation-actually-trades-off-and-when-that-trade-off-is-yours-to-make/6a969e1bb45e6987e7f6afdb)