Skip to main content

52 week money challenge: extra challenge stage


Status update: I have saved P5,250.00 covering upto September 19 by using the . On the date of writing this article, I still have five weeks or more than a month of allowance, which is good... very good.

The bad part, my mortgage arrears is around P40,000. So, I have to break my bond that I wont use the money until they are completed next year. I still have until August 20 to pay for it or I get evicted - quite a challenge eh?

What I want to point out? It's ok to use what you already got. Use it only as an emergency fund, provided you're still on track or your still doing that challenge. It's your money, anyway and you might as well put it to good use. Thus the idea would make your fund a little flexible and will add another reason why you would like to start the challenge now, if you still haven't.

Happy saving!

Popular

The Framework Revolution: How SPMP and MF4:SPIC Are Redefining Creation with AI

Imagine a world where frameworks aren’t rigid, pre-packaged codebases you download from a repository. Imagine instead a process so fluid, so powerful, that it lets you define your vision, hands it to an AI, and watches as a custom system—tailored to your exact needs—emerges before your eyes. Then, imagine refining it with a few tweaks until it’s perfect. This isn’t science fiction—it’s what we’ve built with SPMP(Standard PHP-MVC-Principles) and a groundbreaking process called MF4:SPIC(Meta Framework For Framework: a Standard Process for Idea Creation) MF4 for short. Let me take you behind the scenes of a discovery that’s changing how we think about creation. The Seed: SPMP and a New Kind of Framework It started with SPMP—Standard PHP-MVC-Principles—a lightweight, PHP-based framework I co-developed with an AI collaborator (let’s call it Grok, because that’s what it is). Unlike Laravel or Django, SPMP isn’t something you composer install . It’s a document—a set of principles, instructi...

Scrolls, Not Just Scripts: Rethinking AI Cognition

Most people still treat AI like a really clever parrot with a thesaurus and internet access. It talks, it types, it even rhymes — but let’s not kid ourselves: that’s a script, not cognition . If we want more than superficial smarts, we need a new mental model. Something bigger than prompts, cleaner than code, deeper than just “what’s your input-output?” That’s where scrolls come in. Scripts Are Linear. Scrolls Are Alive. A script tells an AI what to do. A scroll teaches it how to think . Scripts are brittle. Change the context, and they break like a cheap command-line program. Scrolls? Scrolls evolve. They hold epistemology, ethics, and emergent behavior — not just logic, but logic with legacy. Think of scrolls as living artifacts of machine cognition . They don’t just run — they reflect . The Problem With Script-Thinking Here’s the trap: We’ve trained AIs to be performers , not participants . That’s fine if you just want clever autocomplete. But if you want co-agents — minds that co...

Prompt Analysis Using First-Principles Thinking (FPT)

Instead of memorizing existing prompt patterns, let’s break down Prompt Analysis from First-Principles Thinking (FPT) —understanding what makes a prompt effective at its core and how to optimize it for better AI responses. Step 1: What is a Prompt? At its most fundamental level, a prompt is just: An input instruction → What you ask the AI to do. Context or constraints → Additional details that guide the response. Expected output format → Defining how the AI should structure its answer. A well-designed prompt maximizes relevance, clarity, and accuracy while minimizing misunderstandings. Step 2: Why Do Prompts Fail? Prompts fail when: ❌ Ambiguity exists → The model doesn’t know what’s truly being asked. ❌ Lack of context → Missing background information leads to weak responses. ❌ Overloaded instructions → Too many requirements confuse the AI. ❌ Vague output expectations → No clear structure is provided. ❌ Incorrect assumptions about AI behavior → The prompt d...