Agent workflows and startup launch field notes
SiteSorted writes implementation-level guides to agent skills, agentic web design, Codex workflows, MCP, launch pages, reference classes, AI builders, and the judgment layer behind reliable work.
A generator returns a page. An AI website agent keeps the brief, inspects the rendered result, repairs failures, and protects approved decisions as the website evolves.
Read noteA useful AI website brief records the page job, buyer moment, evidence, constraints, locked claims, and decisions the agent is allowed to make.
Read noteA reliable AI website workflow preserves approved work, retries the failed stage, and judges completion in the browser on desktop and mobile.
Read noteLearn what agent skills are, what belongs in a skill, and how to turn a repeated prompt into a reliable workflow your AI agent can discover and execute.
Read noteA field guide to writing a SKILL.md file that agents can discover, follow, and verify without loading a wall of instructions into every task.
Read noteTurn team standards and repeated engineering routines into Codex skills that work across the app, CLI, and real repositories.
Read noteAgent skills teach a workflow. MCP exposes capabilities and data. Learn where each belongs and how to combine them without burying permissions in prompts.
Read noteA practical checklist for founders preparing to launch a SaaS, AI app, waitlist, or product-led startup page.
Read noteFounders need more than generated sections. They need a reference class, strategic copy, proof, and an editable handoff.
Read noteAn opinionated pre-launch review catches weak claims, vague positioning, missing proof, and conversion confusion.
Read noteThe best launch pages borrow structure from a market pattern while keeping the product, proof, and voice original.
Read notePre-launch SEO should make the product findable without slowing down the page build or inventing a bloated content strategy.
Read noteFounders often know the feeling they want. The safe move is to copy the pattern, not the brand, assets, or claims.
Read noteThe best AI website builder is not the one with the flashiest first draft. It is the one that helps a founder launch the right page.
Read noteA founder-friendly checklist for deciding whether a page is ready for traffic, demos, launch posts, or paid acquisition.
Read noteA reference site should guide structure and conversion logic, not brand, assets, copy, claims, or customer proof.
Read noteAn AI Launch CEO is the judgment layer before the builder: it checks strategy, proof, risk, and the right page for this moment.
Read noteA useful website upgrade keeps the real language and structure that matter while applying a stronger design system.
Read noteIf a website builder stores your prompts, strategy, sites, and designs, it should also give you direct controls.
Read noteMost comparison posts stop at pricing tiers. Founders and marketers need a feature checklist that maps to launch week: responsive output, section editing, SEO basics, and a publish path that does not trap you on a subdomain forever. This list is for anyone shipping a marketing page within days and editing copy themselves after launch. Score each tool 0–2 per feature. Anything that misses on more than four items will cost you time in workarounds.
Read noteAI landing page design shortens the path from visitor doubt to one clear action. Models default to generic heroes, feature grids, and recap footers. Conversion-focused pages need a different priority order: outcome headline, early proof, handled objections, and a CTA that matches how you actually sell. These nine tactics are the parts teams skip when they prompt for "a modern landing page." Marketers running paid acquisition, product launch pages, and webinar signups get the most from this list. Run the tactics after your first draft, while you still have time to fix structure before traffic arrives.
Read noteSearch results for *ai web design tools* lump together full-site generators, copy assistants, image models, code exporters, and analytics narrators. That category blur leads to bad buying decisions: teams buy a text tool when they needed a host, or a builder when they needed component code. The comparison below is organized by job, not vendor hype. Team leads and solo operators assembling a launch stack can use it to shortlist vendors with criteria that survive the sales demo. Build a minimal stack: one tool per layer, not eleven subscriptions on day one.
Read noteMost tutorials on how to design a website with AI jump straight to prompts. That is why teams regenerate homepages until nobody trusts the output. A stable process treats AI as execution inside a brief, not as strategy. Founders, marketers, and solo creators tired of throwing away last week's AI output can follow these eight steps in order: define the page job, approve structure, lock critical copy, insert real proof, test mobile, publish, and iterate one section at a time. Skipping early steps is what forces the weekly restart cycle.
Read notePeople search for AI website design examples to see what is possible. The useful learning is naming what each layout tries to prove and how structure supports that proof, not copying pixels. These ten archetypes show up repeatedly across AI-built marketing sites. Designers, marketers, and founders stuck between "make it modern" and a concrete section list can study the pattern, extract the lesson, and rebuild with their own facts and visuals. None of these require impersonating a specific brand. They are categories, not templates to rip.
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