Designing With AI on a budget as an engineer: Google+ChatGPT
An engineer outlines a low-cost workflow for creating marketing screenshots using ChatGPT and Google Stich. The process involves generating screenshot concepts, producing images with ChatGPT Images 2.0, converting them to HTML, and refining the output with AI assistance. Manual SVG editing is employed to perfect icons that AI tools cannot replicate accurately.
- ▪The engineer prompts ChatGPT web to suggest multiple screenshot ideas and then creates detailed image prompts for ChatGPT Images 2.0.
- ▪Generated PNGs are uploaded to Google Stich, which converts them into HTML that can be edited further with AI tools.
- ▪The resulting HTML page is captured in a browser, then cropped and resized to meet required dimensions for marketing assets.
- ▪When AI fails to reproduce a specific icon, the engineer manually traces it in an SVG editor and replaces the generated version for higher fidelity.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,620 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Kevin Coleman |
| Canonical URL | https://www.kcoleman.me/2026/06/11/designing-with-ai-indie.html |
| Publication time | Tue, 28 Jul 2026 17:17:56 +0000 |
| Retrieval time | 2026-07-28T17:25:02.158Z |
| Last seen | 2026-07-28T17:25:02.158Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | --hVOba2OgAq · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Designing With AI on a budget as an engineer: Google+ChatGPT Jun 11, 2026 Tokens are for code, not for design. I will teach you how to create beautiful marketing materials for Apple, Google, and social media accounts in the correct dimensions and quality at the cost of zero billable tokens. I fully acknowledge that this is not as good as a professional designer, but it is infinitely better quality and lower time than I, a software engineer, could do on my own without AI. If you don’t believe look at what I did pre-AI, GPT4, and today in the bonuse case study below. Saigon Watermarks Step one: ask ChatGPT Web to describe list of screenshots. The example app was going to be a desktop iOS app. I first asked AI to give me six or ten screenshot ideas for how to display the app and the page.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Kevin Coleman.
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