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Building the V1 Agent‑Powered Agency Platform
Introduction

This document outlines the architecture and implementation plan for Version 1 of the AI‑powered design/development agency platform. The goal is to deliver a reliable, maintainable prototype that demonstrates how specialized agents can work together to perform research, generate strategy documents and code, and handle client outreach. The plan emphasises a simple orchestration model rather than complex distributed coordination so the sys

Linear Regression
  from sklearn.linear_model import
  LinearRegression
  lr = LinearRegression()
  
Train Linear Regression model
  X = df[['attribute1','attribute2']]
  Y = df['target_attribute']
  lr.fit(X,Y)
Output predicitons
  Y_hat = lr.predict(X)
  
Identify the coefficient and intercept
  coeff = lr.coef
  intercept = lr.intercept_
  
Residual Plot
  import seanorn as sns
  sns.residualplot(x=df['attribute1'], y=df['attribute2'])
  
Distribution Plot
  import seaborn as sns
  sns.displo

/**
 * @param {number} num1
 * @param {number} num2
 * @return {number}
 */
var totalWaviness = function(num1, num2) {
    // This will accumulate the total waviness across the entire range.
    let total = 0;

    // Iterate through every number in the inclusive range [num1, num2].
    for (let n = num1; n <= num2; n++) {

        // Convert the number to a string so we can easily access its digits.
        const s = String(n);
        const len = s.length;

        // Numbers with fewer than 3

# === CONFIGURATION ===
$AdminSiteUrl = "https://westernssmokehouse-admin.sharepoint.com"
$ClientId     = "715390fe-65ce-48b0-ad72-081abb196164"
$ExportPath   = "C:\Users\Public\Downloads\SiteOwners_$(Get-Date -Format 'yyyyMMdd_HHmmss').csv"

# === CONNECT TO SHAREPOINT ADMIN CENTER ===
Connect-PnPOnline -Url $AdminSiteUrl -Interactive -ClientId $ClientId

# === GET ALL SITE COLLECTIONS ===
Write-Host "Retrieving all site collections..." -ForegroundColor Cyan
$Sites = Get-PnPTenantSite

## TURBO FRAMES
- A frame, or designated area, that will respond to a click that **renders** a response
(usually HTML)
- Create the turbo frame:
```rb
# views/model/some_page.html.erb
<%= turbo_frame_tag('some-identifier') do %>
  <%= render partial: '...', locals: { } %>
<% end %>
```
- The above text snippet will respond to a request: for example:
  - If you click on a link that routes to the `show` action, instead of the action
taking you to the show page, turbo takes the `html` returned from

## Database Encryption Rails 8 App

- Secure database using: `bin/rails db:encryption:init`
- Edit and add the keys from the above command to your credential file: 
  - `EDITOR="code --wait" rails credentials:edit`

### Useage
- In `model.rb`, add `encrypts :attribute` to encrypt the attribute

### Viewing
- If the db gets compromised, this is what the hacker will see:
```
INSERT INTO "entries" 
(... '{"p":"lPJmyUnvP1gW9D2SAdVURF0=",
"h":{"iv":"sndLY4XcPzRFCbRl","at":"A62cIuZQYG8qSwzrokLixA=="}}

/**
 * @param {number[]} landStartTime
 * @param {number[]} landDuration
 * @param {number[]} waterStartTime
 * @param {number[]} waterDuration
 * @return {number}
 */
var earliestFinishTime = function(landStart, landDur, waterStart, waterDur) {
    function solve(Astart, Adur, Bstart, Bdur) {
        const n = Astart.length, m = Bstart.length;

        // Build B rides sorted by start time
        let B = [];
        for (let i = 0; i < m; i++) B.push([Bstart[i], Bdur[i]]);
        B.sort((a, b

## Using a Stimulus Controller in Rails 8 Web App
### Create Stimulus Controller
- In `app/javascript/controllers/`, create a new controller:
```js
// toast_controller.js

import { Controller } from "@hotwired/stimulus"

class ToastController extends Controller {
  connect() {
    console.log("Hello from toast!")
  }
}

export default ToastController
```
- The `connect()` method is provided by stimulus as as lifecyle method and is
invoked anytime the controller is connected to the DOM

### Regis

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/**
 * @param {number[]} landStartTime  – earliest start times for land rides
 * @param {number[]} landDuration   – durations for land rides
 * @param {number[]} waterStartTime – earliest start times for water rides
 * @param {number[]} waterDuration  – durations for water rides
 * @return {number}                 – earliest possible finish time
 */
var earliestFinishTime = function(landStartTime, landDuration, waterStartTime, waterDuration) {
    let ans = Infinity; // Track the minimum finish 

https://mermaid.ai/web/

# Code Modification & Mandatory Review Workflow

For EVERY substantial code modification in this project, you **MUST** strictly follow the independent review process below. **DO NOT SKIP THIS UNDER ANY CIRCUMSTANCES.**

1. **No Immediate Completion**: Do NOT report the task as complete immediately after writing/modifying code.
2. **Spawn a Review Subagent**: You must immediately spawn an independent Subagent.
3. **Assign the Persona & Prompt**: Pass the following exact prompt to the Subage

//add team animations
jQuery('h1,h2').addClass('wow animate__animated animate__fadeInUp');
jQuery('h3').addClass('wow animate__animated animate__fadeInUp second-animate');
// jQuery('.block--leadership-team .team-member:nth-of-type(2)').addClass('second-animate');
// jQuery('.block--leadership-team .team-member:nth-of-type(3)').addClass('third-animate');
// jQuery('.block--leadership-team .team-member:nth-of-type(4)').addClass('fourth-animate');
// jQuery('.block--leadership-team .team-member:nt

/**
 * @param {number[]} cost
 * @return {number}
 */
var minimumCost = function(cost) {
    cost.sort((a, b) => b - a); // Sort descending

    let total = 0;

    for (let i = 0; i < cost.length; i++) {
        // Every third candy (i % 3 === 2) is free
        if (i % 3 !== 2) {
            total += cost[i];
        }
    }

    return total;
};

/**
 * @param {number} mass
 * @param {number[]} asteroids
 * @return {boolean}
 */
var asteroidsDestroyed = function(mass, asteroids) {
    // Sort asteroids so we always face the smallest one first.
    // Greedy logic: if we can't destroy the smallest, we can't destroy any larger one.
    asteroids.sort((a, b) => a - b);

    // Process each asteroid in ascending order.
    for (let a of asteroids) {
        // If our current mass is too small, we fail immediately.
        if (mass < a) retur

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