Image by Marija Zaric
What we are not designing for is humans transferring context to each other. That gap, quiet, unspectacular, slightly awkward and higher stake, is the one that determines whether the work is good and can actually scale beyond one person.
Read MoreImage by Willian Chan
A client banned AI from our project. My panic wasn't about solving their problem—it was realizing I'd externalized my infrastructure. Design systems face the same challenge: like languages, they survive through adoption. Beautiful components mean nothing if no one speaks the language. This is how to get people to speak an AI-driven Design Language.
Read MorePhoto by jet dela cruz
What used to take 5 hours now takes 30 minutes with AI. But we still price work in hours. The real question: how do we get paid for seeing what needs to be done by offering a piece of being human? We're trying to measure intangible value with a definite metric. It doesn't work. This frames future work options so capital and people can both understand.
Read MoreImage by Yumu on Unsplash
Design systems work is shifting from team coordination to individual orchestration. I spent half a day setting up Figma MCP and realized my role had fundamentally changed. Here's how AI infrastructure enables designers to audit systems in minutes, auto-generate documentation, and operate at higher, more impactful leverage—plus the setup journey and breakages along the way. Hear my hard learned lessons!
Read MoreImage by Mike Hindle
I once had six weeks to find a job or be kicked out of the country. No safety net. No fallback. So I did whatever it took — learned tools I'd never touched, pitched work I wasn't qualified for, talked to anyone who could get me there. I didn't know it then, but that pressure was building a shape.
It's only through the act of doing that you become. You can't read your way into being X-shaped. You can't workshop your way there either. You become it by being thrown into situations where you have no choice — and figuring it out anyway.
Read MorePhoto by Susan Wilkinson on Unsplash
Last month, I prototyped a website, wrote copy, managed tickets, wrote code, ran tests, and mapped acquisition. A friend said: "That's like five different jobs."
No. It's one job: solving the problem.
The X-shaped person sees problems in 3D—connecting Product, Design, Tech, and Go-to-Market. AI doesn't replace them. It amplifies them.
This used to be a startup thing. Now it's going mainstream. If you feel like a threat everywhere you go—you're not broken. You're in structures built for specialists, and you see in 3D.
Read MoreAI gave me 5x productivity. Five minutes to generate what used to take three hours. But here's what I'm learning: AI handles the definable work—the stuff you can break into steps and verify in loops. What remains is the work that can't be defined: reading a room, sensing hesitation, building trust. The productivity didn't free me to do more. It freed me to stay human. Let me show you how.
Read MoreEvery job posting now gets 800+ applications within hours. Most of them are bots.
I'm not competing. I built automation that finds companies with problems I can solve—before their postings get overwhelmed.
Google Alerts + Relay.app = 20+ opportunities delivered to Slack daily.
Time spent: 2 minutes vs. 30-60 minutes searching manually.
I'm finding problems, not competing for positions.
Read MoreAXA spans layers from Toolings to People to Business to Market.
Discover the AI Experience Architect (AXA): the critical role connecting AI systems, people, and business outcomes that companies aren't hiring for yet. Learn why generalists are having their moment, how AXAs differ from traditional PMs and Designers, and why technology without experience design is just expensive automation nobody uses.
Read MoreEveryone talks about 'human as orchestrator' in AI systems. But mapping my workflow revealed something different: I need a Chief of Staff AI to actually orchestrate the agents. If the AI is the orchestrator, what am I? I realized: I'm the architect. Not of technical systems, but of the human experience within them.
Read MoreBuilding an AI-Powered Lead Gen System with n8n
Spent 2 hours today learning n8n by building an automated lead qualification workflow. Some hard-won lessons:
Technical:
Output formats matter: Schema vs. Table vs. JSON views. Amazing how much this overlaps with IA work
Expressions don't always evaluate in JSON context (learned this the hard way - hence the 2 hours)
Code nodes are your escape hatch when built-in nodes hit limitations. Wish we didn’t have to get there, but we did.
this.helpers.httpRequest() is how you call APIs from Code nodes
Strategic:
Chose n8n over easier tools to maximize learning (no regrets)
Built end-to-end first, optimization later
Cost control: 10 articles/day = $3-15/month in Claude API calls
The Win: Got Claude API successfully qualifying leads automatically. The workflow runs daily, analyzes funding news, and scores companies 0-10 against an ICP.
The Reality: Took 2 hours to get what "should" have been a 20-minute setup. But I understand exactly how every piece works now.
Next session: Filtering, Google Sheets, and email digests.
#AIAutomation #n8n #LearningInPublic #BuildingInPublic
The language we use to describe AI relationships—assistant, partner, digital twin—shapes the future we're building. Moving from hierarchy to collaboration, from efficiency to equity, one conversation at a time.
Read MoreIn this quick tip session, discover how to create a useful AI automated workflow to filter and alert actions on every email that comes in. Helpful for folks with overflowing inboxes, entrepreneurs, newsletter lovers!
Read MoreIn this engaging session, discover how to create a fun, AI-powered, no-code application using Lovable Dev to help kids enjoy eating vegetables. Designed for non-techies, this step-by-step tutorial shows you how to build 'Veggie Quest', a mobile-friendly web app with rewarding features and colorful animations, perfect for motivating children to eat their veggies while parents track progress. Tune in for easy, intuitive coding-free app development!
Read MoreA simple flow that you can set up right away to generate some content and create an automated workflow that goes straight to your inbox for revision and approval
Read MoreHow GenAI voice interfaces help analyze a real-world patent and provide actionable insights in ways that are easy and accessible to the everyday people
Read MoreUse Reloom.io to quickly design and launch a professional B2B landing page
Read MoreOk, experiment time - I recently whipped up a custom GPT in under 15 minutes that drafts social media content daily, based on my bio, tone of voice, and past posts.
Read MoreThe initial outputs predominantly featured white people in privileged settings and authoritative roles. Meanwhile, Black and POC characters were portrayed as impoverished or as those being taught. Additionally, I almost always had to specify the inclusion of female figures. Since my work serves diverse, underprivileged communities, I must represent them, particularly when presenting to these audiences. Educational opportunities must not discriminate, and it's crucial that we acknowledge these biases in AI outputs so we can consciously correct them and provide feedback to better reflect the diversity of the world around us.
Read MoreWelcome to the Learn by Doing Series, where designers and business owners can learn a useful tool quickly (less than 15 mins). We will explore industry best in class tools in AI, Productivity, Coding, Prototyping... and how they can help to propel our businesses forward.
This snappy 12 mins demo uses OpenAI ChatGPT and its image generator Dall E to create illustrations for presentations and pitch decks. Great for designer, entrepreneurs, product managers, strategists, and YOU!
This video is part of the Learn by Doing series by Thu Do on TAILORU Education. You can view more and subscribe to the channel here.
