GPT3 Marketinghttps://gpt3.marketing/GPT3 Marketing is a generative-AI content consultancy est. 2020: brand voice systems, prompt libraries and human-edited content, grounded by SOMIN.en-sg What few-shot prompting in 2020 still teaches content teamshttps://gpt3.marketing/blog/few-shot-prompting-lessons-2020/https://gpt3.marketing/blog/few-shot-prompting-lessons-2020/Mon, 05 Oct 2026 09:00:00 +0800GPT-3 forced writers to teach by example. Those few-shot habits remain the best defence against generic AI content in 2026. Why AI content all sounds the same, and how to escape ithttps://gpt3.marketing/blog/why-ai-content-sounds-the-same/https://gpt3.marketing/blog/why-ai-content-sounds-the-same/Mon, 28 Sep 2026 09:00:00 +0800Generic AI copy comes from averaged inputs, not bad models. How to diagnose sameness and rebuild a voice your audience recognises. How to build a brand voice system that AI can followhttps://gpt3.marketing/blog/brand-voice-system-for-ai/https://gpt3.marketing/blog/brand-voice-system-for-ai/Mon, 14 Sep 2026 09:00:00 +0800A brand voice system for the AI era: principles, vocabulary, examples and model-ready instructions your writers and models both use. Why AI drafts still need heavy editing, and how to need lesshttps://gpt3.marketing/blog/why-ai-drafts-need-heavy-editing/https://gpt3.marketing/blog/why-ai-drafts-need-heavy-editing/Mon, 07 Sep 2026 09:00:00 +0800Heavy revision of AI drafts is usually an input problem. Where the editing time goes and how to move effort upstream. From GPT-3 to ChatGPT: what really changed for marketershttps://gpt3.marketing/blog/from-gpt3-to-chatgpt-what-changed/https://gpt3.marketing/blog/from-gpt3-to-chatgpt-what-changed/Mon, 24 Aug 2026 09:00:00 +0800Six years from the GPT-3 API beta to today: what changed for content teams, what did not, and why craft matters more now. Prompt libraries: how to build, version and govern themhttps://gpt3.marketing/blog/prompt-library-governance/https://gpt3.marketing/blog/prompt-library-governance/Mon, 17 Aug 2026 09:00:00 +0800A practical guide to building a team prompt library: structure, versioning, testing, ownership and keeping it grounded in audience evidence. Authenticity outlasts trends: narrative over FOMO in AI contenthttps://gpt3.marketing/blog/authenticity-outlasts-trends/https://gpt3.marketing/blog/authenticity-outlasts-trends/Mon, 03 Aug 2026 09:00:00 +0800Trend-chasing with AI makes brands faster and blurrier. Why a consistent narrative compounds, and how to test trends against it. Human-edited content at scale: roles, loops and limitshttps://gpt3.marketing/blog/human-edited-content-at-scale/https://gpt3.marketing/blog/human-edited-content-at-scale/Mon, 27 Jul 2026 09:00:00 +0800How to scale AI-assisted content without losing quality: editorial roles, review tiers, feedback loops and where humans add most value. How to run a brand voice audit in the age of AI contenthttps://gpt3.marketing/blog/how-to-run-a-brand-voice-audit/https://gpt3.marketing/blog/how-to-run-a-brand-voice-audit/Mon, 13 Jul 2026 09:00:00 +0800A step-by-step brand voice audit: gather samples, test distinctiveness, compare with audience language and prioritise fixes. Audience-grounded AI content: feeding models what people sayhttps://gpt3.marketing/blog/audience-grounded-ai-content/https://gpt3.marketing/blog/audience-grounded-ai-content/Mon, 06 Jul 2026 09:00:00 +0800Why AI content improves when briefs carry real audience language and tensions, and a practical workflow for grounding prompts in evidence.