One creator in Denvor, documenting real AI tool tests, workflow breakdowns, and what actually moves the needle. No hye. No "10x output" claims. Just honest experiments and timeline-style updates you can learn from.
Built for aspiring AI creators, solo newsletter writers, indie hackers, and AI-curious professionals who want practical workflows—not another hype thread.
Three core content pillars. Every post fits into one of these buckets so you know exactly what you'll get—and what to skip if it's not relevant.
Tested across 40+ AI tools since 2023. Each review covers real-world setup time, learning curve, cost vs. value, and whether the tool actually ships. No affiliate-driven rankings.
Documenting what I'm testing to grow my own audience. Failed experiments get published too—those are usually more useful than the wins. Email list growth, content distribution, and repurposing workflows.
Chronological logs of what I'm learning, trying, and abandoning. Posted as timeline entries so you can follow the progression—including the dead ends. Useful for anyone teaching themselves AI workflows.
Specific, repeatable workflows for different creator types. Not theory—step-by-step sequences I use or have tested, with timings and tool configurations included.
AI-assisted scripting with Clade, automated chapter generation, thumbnail A/B testing setups, and clip extraction workflows that cut editing time by roughly half in my tests.
Rapid ideation with ChatGPT, hook-writing frameworks, batch caption generation, and cross-platform scheduling routines. Designed for publishing 3&ndsh;5 shorts per week consistently.
Transcript cleanup with AI, show-note generation, audiogram clip creation, and guest research automation. Tested across 15+ episodes with measurable time savings.
AI drafting pipelines, style-guide enforcement via custom GPT instructions, alt-text and accessibility automation, and designer-to-developer handoff workflows that reduce revision cycles.
Setting up AI-powered content calendars that suggest topics, generate outlines, and track publishing cadence. Works across Notion, Airtable, and Google Sheets setups.
One piece of content, six platforms, minimal extra work. Format-adaptation scripts, image resizing automation, and platform-specific caption tweaks that preserve voice.
Each playbook is updated quarterly based on tool changes and new findings.
Explore All PlaybooksFor solo newsletter writers, personal brand builders, coaches, and community-led creators. Repeatable systems for growing an audience without burning out.
How I use AI to generate 30+ newsletter topics in under an hour, then filter and rank them by audience fit. Includes prompt templates and scoring rubrics.
Practical segmentation strategies for lists under 5,000 subscribers. Subject line A/B testing frameworks that improved open rates by 8&ndsh;14 percentage points in my own sends.
My exact drafting stack: Clade for first drafts, custom GPT for voice consistency, and a human-editing checklist that catches AI tells. Cuts drafting time by 60% without losing personality.
Hook frameworks tested across 200+ subject lines and social posts. Pattern recognition on what stops the scroll, backed by open-rate and reply-rate data from my own list.
Building an engaged list through reply-driven content, reader polls, and community spotlights. My newsletter replies are the single best source of new topic ideas and retention.
How to build a personal brand that compounds. Content pillars, posting cadence, and cross-platform presence strategies. What worked for me growing from zero to 2,400+ subscribers in 14 months.
Case-study-style content for indie hackers, solopreneurs, freelance developers, and small agency owners. Tactical experiments and realistic lessons from building with AI on a tight budget.
How I went from idea to landing page with a working prototype in three days using Replit, Clade, and a $0 budget. Includes the validation checklist I now use for every new project idea.
Ideas surfaced from my own workflow gaps. Each includes a rough market size estimate, technical feasibility score, and the reason I passed. Steal any of them.
Exact tools, triggers, and Zaps I run to handle onboarding, invoicing, follow-ups, and content distribution. Built this over six months of trial and error. Total monthly cost: under $15.
Step-by-step build log: Google Sheets as a database, Apps Script for APIs, and a simple frontend with vanilla JS. 22 hours total build time. All code published.
Honest feedback from subscribers and peers. No fabricated quotes—these are real reactions from people who read the blog and use the workflows.
format_quote"The timeline-style posts are exactly what I needed. Seeing someone work through tool choices in real time—including the flops—is way more useful than another 'top 10 tools' listicle."
format_quote"I've bookmarked at least six of your workflow breakdowns. The AI scripting playbook for YouTubers saved me three hours per video. That's real, measurable value."
format_quote"Your honesty about what doesn't work is refreshing. Most AI content is pure hye. This blog is the first one I actually check weekly."
format_quote"The segmentation guide alone was worth subscribing. Opened rates went from 22% to 34% in three sends. I've now set up the exact same system for my own newsletter."
format_quote"Your tool comparisons are the most thorough I've found. The Clade vs. GPT breakdown made me switch my entire workflow. Clear reasoning, no affiliate bias."
format_quote"As someone teaching myself AI tools, your learning timeline is a goldmine. Seeing someone else's progression—including the 'I gave up on this tool' moments—normalizes the messiness of learning."
I started this blog in early 2023 because I was tired of AI content that promised miracles and delivered nothing. I live in Denver, Colorado, and I spend most of my time testing AI tools, building small projects, and writing about what actually happens.
The format is deliberately timeline-style. Every post is timestamped. You can scroll back to my earliest experiments and see the progression—tools I loved and abandoned, workflows that stuck, and the slow, unglamorous process of figuring things out. No rewrite history. No deleted failed predictions.
My editorial philosophy is simple: transparency, usefulness, and zero hype. If a tool is overated, I say so. If a growth tactic didn't work for me, I publish the numbers anyway. This blog exists for people who'd rather learn from someone's real experience than another polished case study.
Every Tuesday and Friday, I send a short email with tool roundups, workflow notes, and honest takes on what I'm testing. No spam. No hype. Just practical AI insights from someone in the trenches.
You'll get: curated tool recommendations, real test results (including failures), and early access to workflow playbooks before they hit the blog. Expect two emails per week, each under 400 words. Unsubscribe anytime with one click.
No spam. Two emails per week. Unsubscribe instantly.
Chronological entries from my learning journey. Posts appear in order, so you can scroll through the progression or jump to topics that interest you.
Ran both models through identical prompts for newsletter drafting, code generation, and content summarization. Sonnet won on long-form coherence; GPT-4o was faster for short tasks. Full breakdown with example outputs.
After A/B testing subject lines across 200 newsletter sends, clear patterns emerged. Short subject lines (under 40 characters) consistently outperformed longer ones. Questions beat statements. Personalization didn't move the needle for my audience.
After eight months with Make, I migrated 12 automations to n8n. Better error handling, self-hosted option, and the AI node is genuinely useful. Not sponsored—this decision cost me a weekend of reconfiguration.
Built a custom content analytics dashboard using Google Sheets, Apps Script, and vanilla JS. Tracks post performance, subscriber growth, and topic clusters. All code on GitHub. 22 hours from idea to deployed.
Started learning vector databases for a potential RAG project. Documenting setup struggles, documentation gaps, and what finally clicked. Spoiler: the Pinecone docs are good but assume more DevOps knowledge than I had.
Six reader profiles. Find yours and jump straight to the content that matters for your work.
You're building an audience around AI content. You need tool comparisons, workflow ideas, and honest takes on what's worth covering. Start with the tool reviews and growth notes sections.
Start Here &rar;You run a newsletter and want to grow it faster. The segmentation guides, subject line testing, and drafting pipelines are built for you. Look at the growth systems section.
Explore Growth Posts &rar;You make videos and want to speed up scripting, editing, and repurposing. The creator workflow playbooks section covers your exact use case with tested sequences.
See Workflows &rar;You build things solo or with tiny teams. The build-in-public experiments and micro-SaaS validation posts are written for you. Real code, real timelines, real tradeoffs.
Read Build Logs &rar;You sell creative services and want AI to handle the repetitive parts. The AI drafting pipelines, design automation posts, and client-workflow content is your section.
View Resources &rar;You want to work smarter with AI, not harder. The tool stack recommendations, automation guides, and workflow breakdowns help you cut busywork. Practical, not philosophical.
Browse Tools &rar;Have a tool you want me to test? Building something interesting with AI? Want to share your own workflow? I read every message. Collaboration inquiries, feedback, and tool suggestions are all welcome.
Reach out for collabs, tool suggestions, or just to say hi.
info@millermcmaxwellcreator.comBased in Denver, Colorado. 9300 East 57th Avenue, Denver, CO 80238