Launch Timelines
GPT-based micro-SaaS and AI side hustles tracked from idea to first $1,000 revenue. Tool stacks, pricing experiments, and conversion metrics included.
See timelines &rar;
Waverly, Michigan
AI Creator Timeline
AI Creator Timeline
& Growth Lab
Real experiments with AI tools, documented week by week. Launch timelines for GPT-based SaaS, growth logs for solo creators, and honest postmortems when things break.
Built for indie hackers, marketers, engineers transitioning to AI, and curious professionals running side projects alongside a full-time job.
No spam. Weekly or bi-weekly emails with experiment summaries and behind-the-scenes notes.
What You'll Find On This Blog
Three content pillars, all organized chronologically. Every post shows ideation, testing, iteration, and shipping—with real numbers, not theory.
Content Workflows
AI-asisted routines for bloggers, newletter writers, and YouTubers. Prompt libraries, before/after examples, and open-rate data.
Explore workflows &rar;Developer Build Logs
Hands-on API integration, multi-agent setups, and indie app AI features. Code snippets, architecture decisions, and hackathon postmortems.
Read build logs &rar;New timeline posts and experiment summaries drop regularly.
Join the Email ListLaunch Timelines for GPT-Based SaaS & AI Side Hustles
Every project gets a timestamped public log. Market research, prototype prompts, API integration, user testing, pricing experiments, and revenue breakdowns—all laid out in days and weeks, not vague advice.
Micro-SaaS MVP: 28-Day Build Log
From a Friday-night idea to a working GPT-4 API product with 14 paying users. Covers prompt engineering, Stripe integration, and the pricing test that doubled conversion overnight. Includes the actual revenue chart and churn data through month two.
Tool stack: OpenAI API, Bubble, Stripe, PosthogNo-Code AI Chrome Extension: First $1,000
Built with zero back-end using GPT-3.5-Turbo and a simple front-end. This log shows the exact launch sequence, Redit marketing tactics, and the pricing tier shift that generated the first $1,000 in 19 days.
Tool stack: Replit, Chrome APIs, Gumroad, ConvertKitAI-Powered Job Board: 6-Week Experiment
A niche job board that used AI to classify and rank listings. Full timeline covers the build, the SEO play that brought 4,000 visitors in week five, and why the project was shelved despite traffic. Real numbers, real reasons.
Tool stack: Next.js, Supabase, Claude API, AhrefsAI Workflows for Blogs, Newletters, and Creators
Tested routines for solo bloggers, Substack writers, YouTubers, and podcast hosts. Every workflow includes prompts, tool stacks, and before/after metrics.
Weekly Newletter Batching System
How I write, edit, and schedule four newletter isues in one three-hour block using Claude for drafting and a custom prompt chain for voice consistency. Open rates climbed from 31% to 44% after implementing this system.
Claude
ConvertKit
Notion
YouTubbe Script-to-Publish Pipeline
A five-step AI pipeline that turns a rough outine into a finished script, generates B-rol suggestions, and drafts the video description and tags. Average watch time improved 22% across six videos using this method.
GPT-4
Descript
Canva
Automated Email Onbarding Sequence
A seven-email autoresponder series drafted with AI, A/B tested on subject lines, and refined over three months. Click-through rates by email, segmentation logic, and the one subject-line pattern that consistently outperforms.
Claude
Kit
Google Sheets
Social Media Clip Factory for TikTok & Reels
Batching 12 short-form clips from one long-form post using AI for hook generation, caption variants, and hashtag research. Average views per clip and the hook structure that generates the most replays.
GPT-4
CapCut
Opus Clip
AI-Asisted Marketing, SEO, and Growth Experiments
Marketing posts that show the experiment setup, the prompts used, the tools combined, and real performance data: CTR, conversion rates, organic traffic trends. No vague advice.
SEO Content Clustering at Scale
How I built a 47-page content cluster for a niche site using AI for keyword grouping, outine generation, and first-draft writing. Organic impressions grew from 1,200 to 18,000 monthly across five months. The post includes the exact prompt chain, the editorial QA checklist, and which pages underperformed and why.
CTR: 3.8% avg
+1,400% impressions
AI Ad Copy: 18 Variations Tested in 72 Hours
A rapid A/B testing sprint using AI-generated Facebook and Google ad copy. Three winning variations beat the control by 40% on CTR. The post shares the prompt strategy, audience segmenting logic, and the one headline structure that worked across both platforms.
CTR lift: 40%
CPA drop: 28%
Landing Page Mesaging: AI vs. Manual Copy
A head-to-head test where AI-generated mesaging for a product landing page went up against copy I wrote manually over two weeks. Conversion data, heatmap insights, and the surprising element that made the AI version convert 18% better on mobile.
Mobile conv: +18%
3x faster to ship
Developer Build Logs: APIs, Multi-Agent Setups & Indie Apps
Hands-on logs for engineers. LLM and image model API integration, multi-agent experiments, AI features in indie apps, and hackathon postmortems with code snippets and architecture notes.
Multi-Agent Research Asistant
Three agents (researcher, fact-checker, writer) coordinated through a supervisor agent using GPT-4 and function calling. The build log covers the DAG structure, prompt design per agent, and the halucination rate before and after adding the fact-checker step.
agents = [researcher, fact_checker, writer]
supervisor routes based on confidence score
Image Model API for Indie App Thumbnails
Integrating DALL-E 3 and Stable Difusion endpoints into a content scheduling app. The post details API wiring, error handling for rate limits, cost per thumbnail ($0.04 avg), and a comparison of which model users preferred in blind testing.
POST /generate-thumbnail { prompt, style, aspect_ratio }
Open-Source PR Review Bot
A GitHub Action that uses Claude to review pull requests, suggest improvements, and generate documentation. Built during a weekend hackathon. The log covers prompt engineering for code review, false-positive management, and maintainer feedback from three open-source projects that adopted it.
Local LLM for Ofline Dev Tooling
Running Llama 3 localy via Olama for code generation and debugging without sending data to cloud APIs. Setup guide, performance benchmarks on an M2 MacBook Air, and a comparison with GPT-4 on common tasks like SQL query generation and refactoring.
Productivity, Habits & ROI Logs with AI Tools
Transparent logs on time tracking, energy management, and what actually happens when you run AI experiments alongside a full-time job.
Q4 2024 Time Audit: 217 Hours Logged
Every hour spent on side projects in Q4, categorized and analyzed. 62 hours on build work, 41 on writing, 38 on marketing, and the rest on research and tool evaluation. The most productive days were Saturdays between 6am and 10am. Mid-week evenings underperformed consistently.
62h building
41h writing
38h marketing
Notion + AI: My Weekly Review System
A detailed walkthrough of the Notion dashboard I use to track projects, habits, and AI tool costs. Includes the AI-summarized weekly review template that takes 12 minutes and surfaces what I actually shipped versus what I planned.
Tool ROI Calculator: 11 AI Subscriptions Ranked
Every AI tool subscription I pay for, ranked by cost per useful output. ChatGPT Plus at $20/month delivers the most value per dollar. Three tools were canceled after two months. The post includes the evaluation criteria so you can run the same analysis on your stack.
Proof from Creators, Marketers & Builders
People who applied these timelines, workflows, and build logs to their own projects—and got results.
“I folowed the 28-day micro-SaaS timeline to ship my own GPT wrapper. Hit $800 in the first month. The pricing experiment section alone saved me weeks of guessing.”
“The newletter batching system changed how I work. Four isues in one sitting. My open rate went from 28% to 41% in six weeks. I show this blog to every new writer I meet.”
“I'm a front-end dev transitioning to AI. The build logs gave me a roadmap. The multi-agent post was the clearest explanation I've found anywhere. Shipped my first AI feature last month.”
“The SEO content clustering breakdown was worth more than three $500 courses I've taken. I replicated the method on my niche site. 12,000 monthly visitors now. It works.”
“I run a small agency. The AI ad copy experiment post gave me a repeatable process. We now test 10+ variations per client in under a week. CTRs are up across the board.”
“Honest postmortems are rare. When the job board project was shelved, the analysis of why was more useful than most success stories. I changed my validation process because of that post.”
“The YouTubbe pipeline is no joke. Script-to-publish in under two hours now. My last three videos all broke 5K views. For a channel my size, that's huge.”
About the AI Creator Behind the Timeline
I'm based in Waverly, Michigan. I work a full-time job and run AI experiments on nights and weekends. What started as curiosity—playing with GPT-3 in late 2022—became a serious practice of building, documenting, and sharing.
This blog exists because most AI content is hype. I wanted something different: transparent timelines, real metrics, and honest postmortems when projects don't work out. Every post includes numbers. Every claim is backed by data I collected myself.
If you're an engineer in a small town, a marketer curious about AI, or a professional running side projects after hours—this is for you. I document everything so you can skip the guesswork and see what actually happens when you build with AI tools week after week.
Follow the JourneyFollow the Journey: Email Updates & Onging Series
Subscribers get weekly or bi-weekly emails with curated experiment summaries, new timeline entries, tool stack updates, and behind-the-scenes commentary that doesn't always make it to the public blog.
This is the main channel. Emails combine AI-generated insights with manual curation and personal notes. You'll see what I'm testing, what failed, and what's shipping next—before it hits the blog.
What Subscribers Receive
- Curated experiment summaries every 7&ndas;14 days
- New timeline posts as they go live
- Tool stack changes and why I switched
- Behind-the-scenes notes not published elsewhere
- Ocasonal deep-dives on specific experiments
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