Blog
I write about the ideas, products, and systems people need explained clearly. This blog includes SEO content, articles, research-backed explainers, product writing, finance, tech, and web3 perspectives.
OpenAPI Spec & Live Response Verification Script
A Python script that validates live API responses against OpenAPI schemas before documentation is written — preventing drift, hallucination, and outdated code examples.
Generative Engine Optimization (GEO) vs. Traditional SEO: A Practical Framework for Web3 & Tech Brands
Traditional SEO optimizes for crawlers; GEO optimizes for RAG pipelines. This guide breaks down the structural differences, measurable signals, and a 4-step execution framework for Web3 protocols and technical SaaS.
Schema Markup & Site Architecture for AI Search: How to Rank in ChatGPT, Perplexity, and Google AI Overviews
Structured data and clean DOM hierarchy are no longer optional for AI answer engines. This guide covers the 5 essential JSON-LD schema types, RAG-friendly site architecture, and common implementation mistakes to avoid.
Structuring Developer Documentation for Human Engineers and AI Answer Engines
Documentation is now the core onboarding funnel for developer tools and Web3 protocols. This guide covers the direct link between docs clarity and developer adoption, the Docs-as-Code workflow, and how to structure docs for AI coding assistants and answer engines.
5 Sub-3B Small Language Models You Can Run on Your Laptop CPU (No GPU Required)
You don't need a cluster GPU to run local AI. Compare 5 sub-3B Small Language Models (SLMs) that run on consumer laptop CPUs with 1–4GB RAM at 4-bit quantization.
Automated Indexing Frameworks for Modern Next.js Apps
Stop waiting for search engines to crawl your site. Build an event-driven indexing pipeline in Next.js that pings Bing, Google, and AI crawlers instantly on publish.
How to Rank a New Domain in 7 Days: A Programmatic GEO & AEO Framework
Traditional search engines take weeks to crawl new domains. Use programmatic indexing APIs, JSON-LD schema, and AI Overview optimization to rank on Google and AI search engines in 7 days.
Why Do Autonomous AI Agents Fail? The Architecture Bottlenecks
AI agents don't fail because models are dumb. They fail because architectures let them get confused—context drift, infinite loops, and tool hallucinations. Here's how to fix each.
Why B2B SaaS Landing Pages Lose High-Intent Traffic (And How to Fix It) — 2026
B2B SaaS landing pages lose high-intent technical buyers by using vague jargon, hiding pricing, and burying core product mechanics. Here is how to write landing pages that actually convert.
How I Fixed Ahrefs 3xx redirects in sitemap (www vs non-www on Cloudflare DNS + Vercel)
Ahrefs stuck at 33% health with 308 redirects errors? I fixed the www vs non-www canonical loop with Cloudflare on DNS-only and Vercel handling HTTPS. Here's the exact walkthrough.
How I Got a New Domain Indexed in 24 Hours (GSC Live Test + Sitemap)
Google said 'URL is not on Google' for my new domain. I got brightjasper.com indexed in 24 hours with Search Console, a working sitemap, and a small set of deliberate discovery signals.
Dangote Refinery stock: why ₦10,000 is unrealistic (2026)
Everyone is talking about a ₦10,000 Dangote Refinery share price. I ran the numbers and the realistic answer is much lower.
How Kubernetes HPA scales
Kubernetes autoscaling looks simple, but the HPA loop, formulas, and default settings are where the real behavior is decided.
LLM production cost: APIs vs self-hosted GPUs (2026)
There isn't one honest number for LLM cost. It depends on traffic, latency, model choice, and how much infrastructure you want to own.
Build a RAG pipeline with Node.js and TypeScript
A practical step-by-step tutorial for building a retrieval-augmented generation pipeline in Node.js and TypeScript, then hardening it with real error handling.
Serverless vs containers for AI workloads: when to choose each (2026)
The real question is not which is better, but which workload shape you actually have. A practical framework for AI deployment decisions.
How RAG works: query, retrieve, and generate
A mechanics-first explanation of retrieval-augmented generation: how the query, retrieval, and generation steps work together in practice.
Roomly developer guide: build on the student housing API
A practical guide to building with Roomly's proposed student housing API, from your first request to a full dashboard experience.
Roomly for beginners: what it does and where to start
New to Roomly? Here's what the platform does, who it is for, and the quickest way to get started as a student or caretaker.
Roomly API specification: student housing data model
A proposed Roomly API for student housing data, listing availability, locations, and marketplace information for developers and integrators.
Roomly caretaker guide: activate, list, and withdraw
Activate a caretaker account, list properties, manage reviews, and withdraw earnings on Roomly without getting stuck in the flow.
Roomly student guide: sign up, book, and post roommate ads
A straightforward guide to the main Roomly student flows: signing up, booking housing, and posting or browsing roommate ads.
The pigeonhole principle: simple math, huge consequences
A deceptively simple counting idea from mathematics is quietly behind hashing, distributed systems, and a surprising amount of computer science.
Recursive zk-SNARKs: how Mina keeps its blockchain succinct
Recursion lets Mina prove an entire chain with a compact proof. Here's how the mechanism works and why it matters.
How Mina keeps a blockchain under 22KB
Mina compresses a blockchain into a tiny proof. Here's what that means in practice and why the 22KB number matters.
Roomly Founder Story — Why I Built It
Roomly grew out of a frustrating search for student housing in Nigeria. This is the founder story behind that problem and the product it became.