How AI Startups Validate Features in 48 Hours Without Derailing Current Sprints An AI startup engineering team receives three compelling feature requests in one week. A customer wants a chat enhancement. An engineer proposes a model optimization. A product meeting surfaces a capability your top competitor just shipped. You have capacity for one. Traditional validation…
I Deleted Every Marketing PDF We Had and Built Interactive Experiences Instead: What 30 Days of Real Data Taught Me There it was, staring back at me on a Tuesday morning in March. Google Analytics showing 847 PDF downloads with an average time-on-page of 14 seconds. Fourteen seconds. I spent three weeks writing that technical…
How Code Review Data Reveals Which Technical Debt Actually Blocks Your AI Product Roadmap Your engineering team flags 23 technical debt items in this week’s sprint planning. Your product team has 17 requested features from customer calls. Your code review tool has logged 147 comments across 34 pull requests. Which work actually matters for your…
An AI startup engineer sits in a roadmap meeting with 47 feature requests spread across a Notion board—15 from the sales team promising they’ll close deals, 12 from support tickets about edge cases, 20 from the CEO’s conversations with design partners. Every stakeholder insists their requests are critical. The engineer, knowing they can ship maybe 3 features this quarter, faces the paralyzing question: which ones actually matter?
What would your team do with an extra 20 hours each month? For one marketing agency, this wasn’t a hypothetical question—it was a business transformation I helped deliver. The Reporting Nightmare Recently, I partnered with a mid-sized marketing agency juggling 15 client accounts. Their team was drowning in a monthly reporting nightmare: over 40 hours…
Retrieval-Augmented Generation (RAG) must be one of the most widely used systems in the world of Large Language Models to date. At its core, RAG combines the generative abilities of LLMs with a dynamic knowledge retrieval system, allowing models to access up-to-date, relevant knowledge base during generation. This knowledge base can be updated daily, without…
Let’s go over the few crucial steps when trying to build a real AI system people can use out of your precious AI demo. Start fresh The journey from a proof-of-concept Jupyter notebook to a production-ready AI system begins with a crucial decision: starting fresh. While your prototype notebook served as an invaluable experimental ground,…
In the previous article we discussed what is Account Abstraction and how cool it is and everything. It can potentially make the end-user’s experience much better, but the architecture is not that simple. There are Bundlers, Paymasters, and Smart Wallets, so as dApp developers, how do we actually use Account Abstraction. Today we will explore…
This is my first article on Account Abstraction, so I will keep things basic and general. Later on we will get to implementing AA in the real world. Acccount Abstraction (AA) is a novel way of managing user accounts on the Blockchain. Currently, there are two types of accounts: Smart Contracts and EOAs, Externally Owned…
You don’t need to learn assembly to become a good Solidity Smart Contract developer, but you do need it to become a great one. If you’re in the industry long enough, sooner rather than later, you will come across assembly code in a Smart Contract. If you’re completely clueless, you might be in trouble. Solidity’s…