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AI unlocks your true potential

Not because it lets you skip the work. Because it helps the work reach the level it was aiming for.

AI helps people who already have taste, intent, and persistence reach a level of quality that used to require a team or budget.

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The tiny reasons we stick with an App

Sometimes the winning feature is not on the spec sheet.

When apps reach feature parity, small UX choices and taste decide what people keep using.

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You can vibe-code Mac apps now

But Glaze's real trick is making these apps easier to launch, share, and install.

Glaze is interesting because it pairs AI app building with a runtime and store that make Mac apps easier to launch, share, and install.

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Stop copy-pasting into ChatGPT/Claude

Let AI work where your files already live

Connecting Drive to an agent closes the loop: AI can read the source, discuss the change, and write back instead of making you shuttle files.

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Skip Starter, get at least Standard for Google Workspace

10x the value for twice the price of Starter

Business Standard is where Google Workspace starts replacing separate subscriptions instead of only providing a business inbox.

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The first tool I add after going live

The best AI-first tools do not add complexity. They remove the work between question, insight, and action.

After launch, founders need tools that reduce the distance from product question to useful action.

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Never get attached to a specific technology

The tools that work today can still become tomorrow’s migration project.

Keep your systems stable, but stay ready to migrate when a critical tool changes or disappears.

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Which AI level does this job need?

The useful move is choosing the lowest level that removes the bottleneck.

Choose the AI level that fits the job instead of using chat or agents for everything.

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The AI ladder

Before chasing better models, figure out which level of AI your work actually needs.

Founders get better leverage by matching the AI level to the bottleneck instead of chasing the most advanced tool.

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Before building, define who

The role map comes first: who uses it, who maintains it, who approves it, and who owns it.

Start app projects by mapping who uses, maintains, approves, exports, fixes, and owns the workflow before designing screens.

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Learn as you delegate

Delegating saves time today. A few extra questions are what increase your leverage tomorrow.

Use every completed AI task to improve the next brief, not just accept the current output.

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AI can build the integration. Should you still use Zapier?

The real question is not whether DIY is possible. It is how much workflow you want to maintain afterward.

AI coding agents can build integrations, but they do not remove the setup, security, testing, edge-case, and maintenance ownership that comes afterward.

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What bad looks like is part of the brief

Showing the anti-pattern can be as useful as describing the target state.

Tell AI what to avoid so the useful format becomes a constraint, not a wish.

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Amazon has entered the personal agent room

Amazon Quick looked interesting for ten minutes. My existing context looked more valuable.

New AI tools need to justify the cost of leaving the context your current tools already have.

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How daily writing accidentally rebuilt my Instagram

Once AI joins your process, one project turns into the next, and the next…

AI turns one small habit into adjacent projects when it becomes part of the thinking process.

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Share the "Good to know" with your agent

When it feels barely relevant, it might actually be a key constraint

Small context details can change the architecture an AI agent designs.

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Make your AI setup portable

Computers became interchangeable once the work moved to the cloud. AI models are heading the same way.

Keep your AI setup portable so model changes feel like swapping machines, not starting over.

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ChatGPT has eyes on becoming a Super App

Still on a quest to become your de facto personal agent, one feature at a time

Small convenience features train users to make AI part of their daily default routine.

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Just because "AI can build it" does not mean you should

The real skill is knowing when to build, when to buy, and when the default tool is already enough

Build only when the workflow is specific, repeated, valuable, and still underserved by existing tools.

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Models can disappear. Your work should not.

The latest AI model drama is another reminder that resilience matters more than model hype.

Design AI workflows so a model outage or product decision does not stop the work.

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When to use Deep Research instead of Chat

Some questions need more than a reply

Use Deep Research when a question needs source-backed exploration, not just a quick chat answer.

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Can another agent pick up the work?

The real test of whether your AI workflow is resilient.

An AI workflow is resilient only when another agent can pick up the work from files, plans, and written context.

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How I burned through my AI allowance in 90 minutes

The agents weren't building. They were reacting.

Structure feedback into specs before dispatching agents, or AI work turns into reactive token churn.

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Your App probably doesn't need the App Store

Start web-first, then build native around the flows your users prove are worth it.

Start web-first until real usage shows which mobile flows deserve native investment.

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Apple arrives late to the AI game, but with a real advantage

Not the biggest model. The deepest access to the user.

Apple's AI advantage may come from owning the personal surface, not from winning benchmark comparisons.

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AI can know the answer and still miss the move

The agent may have the knowledge, the feature, and the capability. Expertise is still knowing when to ask for it.

AI can hold the right capability and still miss the move; expertise is knowing what to ask for and when to use it.

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Subagents are not just fast mode

The real gain is not parallel work. It is better delegation.

Subagents improve quality when broad work is split into meaningful specialties, not just when work runs in parallel.

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The answer is still to try it

Benedict Evans had a useful take on the AI question everyone keeps asking.

You do not get better at AI by watching from the outside. You get better by trying it on real problems.

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Not keeping up with AI? Be more curious

The people getting better are not watching every demo. They are testing AI against their own use cases.

Curiosity compounds when you test AI against your own projects.

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The AI agent you need might already exist in the tools you use

I used Amazon’s Rufus to turn a book search into a simple lead qualification workflow

The fastest AI workflow can be the agent already sitting inside the product.

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Your agent wanted to follow you…

It does now.

Agent work no longer has to stop when you leave your desk.

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Using AI every day but not getting better yourself?

You have to go beyond generation and delegation.

AI gets more valuable when you use it to learn, not only delegate.

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When You Need to Get Out of Chat

The moment ChatGPT should become Codex

Some tasks need an agent that can work with files and verify output.

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The real AI skill is resilience

Google’s latest AI editor update is a reminder that your workflow cannot depend on any single vendor.

Your workflow cannot depend too much on any single vendor.

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Reach > Ego

The iPhone moment at Google I/O says more about Gemini’s ambition than Pixel’s importance

Distribution often matters more than ecosystem pride.

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Vibe coding for e-commerce

Faster storefront builds, different tradeoffs

AI storefront building is faster, but the tradeoffs still matter.

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The most underrated app on your iPhone

Why Apple Reminders still beats most todo apps for iPhone users

The default app can win because it owns the ecosystem integration.

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Why Google might become the biggest AI provider

Winning the AI battle might have less to do with model quality than people think

Winning AI may depend less on model quality than reach.

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AI done right: the case of video editing

A masterclass from Riverside

AI works best when it helps exactly where a human gets stuck.

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When a Book becomes an App

How a project stayed with me and led somewhere new

A written concept can become an interactive experience.

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I hired a personal painter

Turns out she lives in my sidebar

Good visual generation depends on brief, context, and iteration.

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How to keep up with AI advancements?

Spoiler: You don't.

You do not keep up by watching everything. You keep up by tinkering.

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I ignored my own advice about AI workflows

A small limit hit turned into a surprisingly useful reminder

Do not let one generous tool make your workflow fragile.

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Your agent wants to follow you

Digital Nomad is becoming a whole new, more powerful thing

The agent session becomes more useful when it follows you.

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Remember when Wordpress was the default?

How AI tools are solving pain points we accepted for years

AI tools can remove pain points we accepted as normal.

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Context is the brief

More real-world examples of why vague AI briefs still bite

Vague instructions are risky when agents act inside real projects.

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Full-stack freedom has a price

Shipping the first release is one thing. Living with the build is another.

Shipping is easier with agents, but ownership still has a cost.

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For once, small businesses have the advantage

Don't waste the window

Small businesses can move faster while the AI window is still open.

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Get comfortable switching models

The best AI workflows are built on adaptation, not allegiance.

The best AI workflow is using the strongest tool available, then switching when the lead changes.

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The Developer (as we know it) is dead. Long live the Tech PM!

Why AI may not kill software careers — just promote the best developers into a new role.

AI shifts more software value toward product judgment and orchestration.

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The Claude Army is mainly paying for ego, not output

Most AI work is repetitive, not profound. Use enough model, not maximum model.

Use the model that fits the job instead of paying for ego.

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ChatGPT Pulse: OpenAI’s first step toward personal agents

When AI stops waiting for prompts and starts inferring relevant recommendations from past conversations

Personal agents begin when AI stops waiting for explicit prompts.

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Context switching is the new multitasking

In an AI-assisted workflow, the real drag isn’t doing the work — it’s reloading your brain between tasks.

In AI workflows, the bottleneck is often reloading context between tasks.

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Better AI outputs start with better inputs: a real-world example

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Garbage in, Garbage out...

Clarity in → Quality out

The quality of AI output depends on the clarity of the input.

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Gemini for Businesses just got smarter

An even more seamless experience for Google Workspace users... almost

Workspace AI gets stronger when it can use the context already inside the tools.

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It's all about the memory...

Why your favorite AI might just be the one that knows you best.

AI agents need durable context, not just code execution.

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Claude Design looks great. The comparison gets awkward.

A look at what it produced, how it compares with Lovable, Gemini, and Codex, and why the bill matters more than the hype.

AI design tools should be compared by output, workflow, and cost.

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Use Claude Code and Codex for more than Code

They’re great for writing, strategy, and ops too!

Coding agents are useful beyond code when they can carry context into writing, strategy, and ops.

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The problem with vibe coding is not the coding

A new debate has started around vibe coding.

AI can make building easier, but expertise is still needed before people rely on it.

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What would you use a personal agent for?

In yesterday’s post I talked about the benefits of personal agents.

Start personal-agent delegation with one small, repetitive, annoying task that does not really require you.

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Why your next upgrade is not an App, it’s a Personal Agent

The next interface shift is from operating apps yourself to briefing the agent that orchestrates them.

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Your Product Owner is now your best Tech Lead

A Product Owner can become the technical lead when clear specs guide AI agents.

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How to (really) use Plan Mode

Spend some time before, or waste more time after, your pick.

Plan mode works best when the agent clarifies assumptions, drafts the implementation plan, and waits for approval before execution.

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"AI can make mistakes. Check important info"

Sometimes with itself...

AI can be useful and still wrong; check important outputs before trusting them.

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AI is an Engine. You’re still the driver.

AI can provide the horsepower, but the human still chooses the direction.

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On working with Jimmy, Cody, and Clo

Yes, I give my agents nicknames

Strategic patience can look foolish until the ecosystem advantage becomes visible.

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The “Best Model” is a distraction

Stop picking. Start combining.

Stop chasing the single best model; combine multiple systems for better angles and leverage.

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How to get 60% off your Claude Max subscription 👀

Use Claude for high-level thinking and Codex for execution capacity instead of paying for one expensive bottleneck.

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Share this with everyone you know

Gmail dot variants and + aliases let one inbox behave like many dedicated addresses.

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Treat AI like an Intern

Very knowledgeable, very capable, but an intern still.

AI gets more useful when you onboard it with context, examples, constraints, and feedback.

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After Vibe coding, meet Vibe design

Turns out “I’m not creative” was just… a tools problem.

AI design tools turn taste and direction into leverage when you can steer the workflow.

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Embrace AI and start building tools for yourself

Just start!

The fastest way to understand AI is to use it to build small tools around your own problems.

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After Your Custom GPT Knows You, Here's What's Next

From Context to Execution: Two Real Workflows

Custom GPTs become execution engines when you teach them your process, reference work, and exact output format.

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Why I Pay for Google Workspace, Even Though Gmail is Free

Or when the grown-up version of the tools you're already using makes sense.

Pay for Workspace when custom email, shared ownership, storage, privacy, or bundled tools start mattering more than a free inbox.

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I talk more than I type now (and you should too)

One tool, one keystroke, every app. Super Whisper turns messy speech into clean text.

Talking to AI removes friction when the assistant can turn messy speech into usable work.

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Here's your ChatGPT problem

The quality of your ChatGPT response depends on the instructions you give upfront.

Reusable upfront context makes ChatGPT outputs better without rebuilding the prompt every time.

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I switched from Dia to ChatGPT Atlas...

Trying to find the AI browser most suitable to me

For founders, context-aware browsing only becomes powerful when the conversation remains persistent and easy to revisit across devices.