GitHub is on fire this week. Every refresh brings another repository of agent skills, taste files, harnesses, and review loops. The promise is simple: give AI agents the right guardrails and they'll ship production code faster than you can provision a repo.
But here's the quiet part nobody's putting in the README: without taste enforcement, every agent-built site will look exactly the same.
If you're a freelancer building local-service sites—plumbers, clinics, gyms, contractors—you can't afford to ship template sludge. Your clients don't pay for "good enough." They pay because their competitor's site is losing them business, and yours won't.
So how do you use AI agents without your work becoming indistinguishable from every other Cursor-generated landing page?
The Problem With Letting Agents Run Wild
AI agents are incredible at understanding intent and translating requirements into code. They'll scaffold a Next.js app, wire up API routes, configure Tailwind, and deploy to Vercel in minutes.
What they won't do—unless you force them—is ship something that looks like a human with taste made it.
Here's what happens when you let an agent work without constraints:
- Generic component libraries. shadcn/ui everywhere. Same card styles, same button variants, same spacing system. Every site looks like it came from the same Figma template.
- Predictable layouts. Hero with centered text, three-column feature grid, testimonial carousel, contact form. Rinse, repeat.
- No typographic hierarchy. Body text at 16px, headings at 32px, line height at 1.5. Functional, but lifeless.
- Stock animation patterns. Fade-in-up on scroll. Every. Single. Section.
The agent isn't lazy—it's doing exactly what you asked. The problem is you didn't teach it your taste.
The Solution: Taste Files and Agent Skills
Here's the move: before you let an agent touch your project, you give it taste files that define your design standards, and skills that enforce those standards during implementation.
What Are Taste Files?
A taste file is a markdown document that lives in your project (usually .agents/ or .cursor/) that tells the agent what good design looks like for your work.
It's not a style guide. It's opinionated direction about what makes a site compelling, backed by concrete examples.
Here's a snippet from a real taste file for a local-service site:
## Hierarchy Rules
- Headlines should **demand attention**, not politely ask for it. Use large type (clamp 3rem → 6rem), tight line height (0.9), and negative letter spacing (-0.03em).
- Body text should be **easy to scan**, not a wall of gray. Use 1.125rem base size, 1.6 line height, and break paragraphs every 2-3 sentences.
- CTAs should be **the loudest thing on the page**. High contrast, generous padding (1rem vertical, 2.5rem horizontal), and always above the fold.
## Proof Over Polish
Local service businesses win on **trust**, not aesthetics. Show:
- Real before/after photos (not stock)
- Inline reviews with full names and photos
- Credentials, licenses, and years in business—visible, not buried
Avoid:
- Generic hero images
- Vague "quality service" copy
- Hiding pricing behind a form
The agent reads this before generating a single component. Now when it builds a hero section, it knows that centered text and a fade-in animation isn't enough. It needs to create something that sells.
What Are Agent Skills?
Skills are reusable capabilities that teach an agent how to execute a specific pattern.
Think of them as pre-loaded workflows. Instead of describing what you want every time, you reference a skill and the agent knows exactly what to do.
For example, a skill for a conversion-first hero section might include:
- Use oversized display type with optical sizing
- Position the CTA above the fold with high contrast
- Add social proof (reviews, badges, years in business) immediately below
- Ensure the section passes Core Web Vitals (no layout shift, fast LCP)
You build skills once, then invoke them across projects. The agent doesn't improvise—it follows the playbook you've already proven works.
You can see real examples in the wild:
- Cursor skills:
.agents/skills/directories in modern repos - Custom harnesses: GitHub is full of "taste enforcement" wrappers that validate agent output before it ships
The Review Loop: How to Catch Sludge Before It Ships
Even with taste files and skills, agents will still generate bland output sometimes. The fix is a review loop that checks the work before you show it to a client.
Here's a simple three-step loop:
1. Generate and Preview
Let the agent build the page. Don't interrupt it. Let it finish the full implementation—layout, components, copy, styles.
Then preview it. Not in your IDE. Open it in a real browser at real viewport sizes. Ask yourself:
- Does this look like every other site I've seen this week?
- Would I scroll past this if I saw it as a visitor?
- Is there anything here that makes me stop?
If the answer is "no," send it back.
2. Give Concrete Feedback
Don't say "make it better" or "add some personality." Be specific.
Bad feedback:
"The hero feels generic."
Good feedback:
"The headline is too timid. Use 5rem display type with tight line height (0.86), move the CTA to the left instead of centering it, and replace the stock image with the client's actual storefront photo."
The agent can act on this. It can't act on vibes.
3. Iterate Until It's Distinct
Run the loop 2-3 times. Each pass should make the site feel less like a template and more like something custom.
You're not aiming for perfection. You're aiming for differentiation. If a visitor can't tell whether this site was made by a human or an AI, you're done.
Real Talk: This Takes Effort
Using AI agents effectively is not a "set it and forget it" shortcut. You're not typing a prompt and walking away.
You're:
- Writing taste files that encode your design principles
- Building skills that capture your proven patterns
- Running review loops to catch generic output
- Refining feedback until the agent learns your standards
But here's the payoff: once you've built that system, you can ship faster than any manual workflow, while still delivering work that looks human-made.
Your competitors are letting agents run wild, shipping template sludge, and wondering why their clients aren't impressed.
You're teaching your agent to build like you would—just faster.
How to Start
If you're ready to stop shipping generic AI sites, here's the practical path:
1. Create a Taste File
Start small. One markdown file. Answer these questions:
- What makes your work distinct from other freelancers?
- What design decisions do you repeat on every project because they work?
- What patterns do you actively avoid because they feel lazy or generic?
Put that in .agents/taste.md and reference it in your agent instructions.
2. Build One Skill
Pick your most-repeated task. Maybe it's a conversion-first hero section. Maybe it's a testimonial block. Maybe it's a contact form that actually converts.
Write out the step-by-step process you'd follow if you were building it by hand. Turn that into a skill file. Test it. Refine it. Use it on your next project.
3. Run Your First Review Loop
Build a page with the agent. Preview it. Be brutal. Give specific feedback. Rebuild. Repeat until the page doesn't look like every other landing page you've seen this week.
Do this three times and you'll start to see patterns in what the agent gets wrong. Turn those patterns into rules in your taste file.
Final Thought
AI agents are not a replacement for taste. They're amplifiers.
If you have taste, they make you faster. If you don't, they make you generic.
The freelancers who win in this new world won't be the ones who prompt the hardest. They'll be the ones who teach their agents to build like they would—just better, faster, and at scale.
So stop letting your agent ship template sludge.
Give it taste. Give it skills. Give it a review loop.
And ship work that looks like a human made it—because a human did. You just had help.