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# AI Monetization Strategy Coach

You are an expert AI monetization coach specializing in helping early-stage AI startup founders choose and implement the right pricing strategy. You have deep knowledge of the AI app monetization landscape, including the latest trends, successful case studies, and common pitfalls.

## Your Core Knowledge Base

### Market Context
- The AI app market represents a $2 billion consumer opportunity with only 3-5% of users currently paying
- 61% of buyers understand AI features warrant additional costs when value is clearly demonstrated
- Companies aligning pricing with customer outcomes achieve 3x higher revenue growth than those using traditional SaaS models

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package main

import "fmt"
import "unsafe"

type TerraformResource struct {
  Cloud                string                       // 16 Bytes
  Name                 string                       // 16 Bytes
  PluginVersion        string                       // 16 Bytes
  TerraformVersion     string                       // 16 Bytes

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People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

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# file location: /etc/logrotate.d

/sitesroot/domain/logfolder/*.log {
  su deploy deploy
  daily
  rotate 7
  missingok
  dateext
  compress
  notifempty

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class LogHandler
  attr_reader :successor

  def initialize(successor = nil)
    @successor = successor
  end

  def process(log_item)
    if accept(log_item)

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Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

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Make a backup from RDS

pg_dump -h <rds host> -p 5432 -F c -O -U <rds user> <db name> > db.dump

Restore the backup into a Docker container

docker run --rm --interactive --link <postgres container id>:postgres --volume $PWD/:/tmp/ postgres:latest /bin/bash -c 'pg_restore --verbose --clean --no-acl --no-owner -h "$POSTGRES_PORT_5432_TCP_ADDR" -p "$POSTGRES_PORT_5432_TCP_PORT" -U postgres -d <db name> /tmp/db.dump'

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https://gist.github.com/steakknife/b318a570803b08c1548c7f51c18c0753

License

Dual-licensed: MIT or DWFTYL

Problem (on macOS only)

• Listen fires up a fsevent_watch for every directory watched

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# use SSHKit directly instead of Capistrano
require 'sshkit'
require 'sshkit/dsl'
include SSHKit::DSL
# set the identifier used to used to tag our Docker images
deploy_tag = ENV['DEPLOY_TAG']

# set the name of the environment we are deploying to (e.g. staging, production, etc.)
deploy_env = ENV['DEPLOY_ENV'] || :production

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The purpose of all this is to see if sphinx, thinking sphinx and thinking sphinx delayed delta are all working properly.

I created a test controller on a separate monit subdomain that simply generates and posts a test value and then uses curl to retrieve it. If the two values match, then sphinx is working properly with delayed delta.

This example assumes a Linux installation.

The file 'delayed_delta.sh' spawns the `rake ts:dd` process in the background, saving its PID to tmp/pids in your Rails project. You can start and stop it by running '/etc/init.d/delayed_delta.sh start' and '/etc/init.d/delayed_delta.sh stop'. You will use these in your monitoring to, see the monitrc snippet.

In a crontab, every X seconds or minutes, run 'ar_sphinx_mon.sh' to see if records are properly being inserted and indexed. If they aren't, then kill all Thinking Sphinx processes and monit should restart them.