Tag Archives: #LittleBit

Format Matters: Building a Universal Translation Layer for You

15 Jul

Some assistants learn your tone. LittleBit is learning your tools too.

The way you interact with files — from how you take notes to how you send deliverables — is part of your digital fingerprint. And that’s why one of LittleBit’s foundational attributes is now:

{format preference}

Just like name, nickname, or wake word, your preferred formats form a core part of your identity in the LittleBit system.

When you say:

– “Send me the .docx version”
– “Give me a markdown draft”
– “Export it as JSON”

…LittleBit doesn’t just follow instructions. It remembers.

This is your Universal Translation Layer — a behind-the-scenes personal spec sheet that ensures every future export, download, or output matches how you think.

Common Formats LittleBit Has Learned to Handle

Extension

Type

Use Case

.py

Python script

Middleware, automation, AI-driven logic

.md

Markdown

Blog posts, Notion docs, GitHub readmes

.txt

Plain text

Raw logs, default exports, simple prompts

.docx

Word document

Legal docs, formatted deliverables

.pdf

Portable document

Locked formats, archives, signature files

.pptx

PowerPoint

Diagrams, roadmaps, pitch decks

.xlsx

Excel workbook

Logs, matrices, databases

.csv

Comma-separated values

Dashboard exports, tabular data

.json

Structured data

Configs, APIs, memory

.png, .jpeg

Image files

UI design, blog art, screenshots

.html

Hypertext

Web previews, embeds

.eml

Email

Message chains, archived communication

.zip

Archive

Bundled docs, deliverables, legal kits

.jsx, .ts, .vue

Web frameworks

React, Vite, and component-based builds

.notion, .wp-json

Platform-specific

Notion blocks, WordPress/Jetpack endpoints

You don’t need to memorize that list.

LittleBit will — and customize your outputs accordingly.

This is the start of format personalization at a system level.

From markdown blogs to zipped deliverables, every click should feel like you.

— Jason Darwin
Founder, LittleBit & MemoryMatters
📧 info@askLittleBit.com

P.S. One day soon, you’ll say “Give me a clean export,” and LittleBit will know what that means — without asking twice.

🧠 The Re’Set,Match Point’: Building a Cleaner Brain

13 Jul

How One Personal Assistant Got Its First Render and Drop Shot Right

🎾 A Morning Reset, and a Milestone Worth Watching

It was Breakfast at Wimbledon, and while the world watched Sinner claim his first Gentlemen’s Singles Trophy on the All England Lawn, I was eyeing a different baseline to hit: getting the first render of LittleBit’s brain live on GitHub – this thingamabob to share stuff outside your own computer.

I had already reset my systems. I had wiped scattered logic, retired half-baked branches, and started fresh. But this wasn’t just about file cleanup — it was about doing things intentionally, building the kind of assistant I’d actually trust. One that could learn. One that could remember.

🏗️ Sprint 1: Laying the Foundation

This sprint was about one thing: User Zero (U0).
If LittleBit is going to learn from others, GPT has to understand me first.

We started with the core traits:

– Interrupt Listener: Wake word configured (“stop”), responsiveness activated
– Tone Engine: Placeholder for emotional intelligence
– User Core: Nickname, time-of-day logic, opening prompt behavior
– Privacy Defaults: ‘Me Only’ mode, as the foundation for all future trust
– Memory Scaffold: Reference log created, early recall structure defined

This wasn’t a massive model rewrite — it was a clean render. Simple, functional, and built to scale.

🚀 The Push That Sealed It

After building locally, I did it the right way:

– Initialized Git (think native computer language like Unix) in the new littlebit-middleware-v0.2.0 folder
– Added a .gitignore to keep the clutter out
– Wrote a proper README.md (aka fancy txt file) to explain the milestone
– Configured GitHub token-based authentication (no password hacks here)

Then it happened:

To https://github.com/Adarwin2/littlebit-middleware.git
• [new branch] main -> main

Milestone pushed. First render complete.

This wasn’t just code moving to the cloud — it was a checkpoint in the journey of building something that remembers why it was built.

🔗 GitHub Repo: https://github.com/Adarwin2/littlebit-middleware

🗂️ From Memory to Method: The System Behind the Push

Once the code landed, I zipped it and dropped it into my archive:

littlebit-middleware-v0.2.0.zip → Middleware_Snapshots/

Then I turned to my second brain — Notion — and created a structured sprint board. Sprint 1 was locked. Sprint 2 already underway. Sprint 3 ready to define the long-term memory layers LittleBit will learn from.

Here’s what Sprint 1 looked like:

– ✅ U0 First Render Complete
– 🧪 Run memory reference test
– 🗂 Rebuild master memory file
– 📝 Write & publish blog post
– 🔁 Sync test across devices
– 🔐 Setup GitHub token
– 🧠 Archive zip to WD & Dropbox

No guessing. No scrambling. Just trail maps and task cards.

🥚 The UTF-8 Artifact (A LittleBit of Character)

Somewhere along the way, while dragging milestone notes into Notion, I stumbled onto a line filled with weird symbols:

Sprint 1 – Foundations & Reset ✅

Instead of treating it like an error, I kept it.

“It wasn’t a bug. It was proof this system remembers — even the details we don’t always mean to.”

Call it another of my first LittleBit Easter eggs. A nod to UTF-8, markdown quirks, and the delight in watching something you built get smarter, byte by byte, or as those bytes are concerned, eight LittleBits at a time.

🔮 What’s Next: From Render to Response to Recall

Sprint 2 kicks off with:
– Connecting the middleware to the front-end (React)
– Drafting the first starter prompt for memory recall
– Writing the next blog: “From Sparks to Structure: How the Brain Grows”

Sprint 3: Teaching LittleBit to actually remember — not just store data, but understand it.

We’re not just creating a digital interface, we’re building a core brain — one thoughtful commit at a time, understanding it cannot function without the heart and ultimately the soul.

🧠 Why This Matters

This project is personal. It’s not just a stack of JSON files or API endpoints.

It’s about creating something I trust — something others might too.

LittleBit isn’t trying to be the next viral AI. It’s trying to be the most personal, private, and intentional one.

We don’t need more bots that shout into the void. We need ones that whisper what matters — and remember it when we forget.

— Jason Darwin
Founder, LittleBit & Memory Matters
askLittleBit.com

P.S.
Still not sure if the ✅ in my README was a character encoding glitch…
or the first time LittleBit tried to say “good job.”
Either way — I’ll take it. ✅

Clearing the Path for LittleBit: From Setup to First Spark

11 Jul

Every idea needs a clean workbench. Today was about clearing that space, organizing the tools, and getting the blueprint pinned up where we can see it.

We finalized our storage strategy—Dropbox as our cloud source of truth, with a WD on-prem backup prepped for privacy-first users. The folder structure is now locked in: clean, intuitive, and built to scale. We cleared out legacy files, removed test bundles, archived zips, etc.

The result? A cleared path.

We loaded the first two users—U0 (that’s me, aka User Zero, aka LittleBit’s coach) and U1 (she knows who she is and requested the role, so more to come on that front next Monday)—and stood up the foundation for LittleBit’s microservices.

That means a modular engine now sits under the hood, ready to handle personal traits like nicknames, AI name preferences, time-of-day mood shifts, etc.

We’re keeping it minimal on purpose: crawl before we walk, walk before we run.

Next up: first interaction.

Tomorrow, LittleBit will begin responding based on the user’s identity and preferences. A simple prototype test, but a powerful step—proving that recognition works, memory persists, and the tone matches the moment.

It’s not magic. It’s methodical.

Let’s light it up tomorrow.

Jason Darwin
User Zero, Project LittleBit

P.S. I may or may not have squealed a little when I got to delete All_Microservices_v0.2.0.zip. Nothing says progress like rm -rf.

Our basic guiding principle from Day 1: scalability, speed, personalization — with more core fundamentals to come.