Jeremy Corman

Your marketing strategy lives in 5 files. Notion page. Slack thread. brief-FINAL-v3.docx. Half-finished prompts copied from a friend's tweet. Nobody knows which version is real. Your AI sees a different story every conversation. I'm building one canvas that fixes that.

@Akasheth_ digitalmarketingcanvas.co/saas/

Drop your website, app or project below I’ll review it and share honest feedback

@hthieblot Most teams use AI with no source of truth. I'm building a shared marketing canvas that syncs strategy across: • your team • your clients • your AI (Claude, ChatGPT, agents) No more copy-paste briefs. No more contradictory outputs. shipping → digitalmarketingcanvas.co/saas

The next billion-dollar founder has 9 followers on X rn. I will find you & fund you!

@Dever401 More like this?

@JeremC Exactly. The mechanism can come second. Lead with the pain: teams trust five different versions of strategy, then wonder why the AI output drifts. A tiny before/after will make the product click fast.

Your marketing strategy lives in 5 files. Notion page. Slack thread. brief-FINAL-v3.docx. Half-finished prompts copied from a friend's tweet. Nobody knows which version is real. Your AI sees a different story every conversation. I'm building one canvas that fixes that.

@Dever401 💯

@Dever401 That’s super useful. I think you’re right: “AI context” explains the mechanism, but “anti-drift” names the pain. I’ll probably make the next pass more concrete with a simple before/after: filled canvas → reusable prompt/skill/workflow. Appreciate the sharp read.

@JeremC Strong premise. I would make the exported skills promise concrete fast: show one before/after where a canvas turns into a usable prompt, skill, or workflow. The anti-drift angle is clearer than the AI context angle.

@askOkara digitalmarketingcanvas.co/saas/

drop your website and i'll tell you which marketing channel to focus on first

@askOkara airplan.be

The landing's live. The product is still beta. What I'm building toward: one canvas → AI context → exported skills → synced for your team and clients. No more drift. Brutal feedback welcome. Build-in-public starts now. digitalmarketingcanvas.co/saas/

Context: 9 years ago I made a free poster of this framework — the Digital Marketing Canvas. Thousands of downloads. Translated to 13 languages. Used in consulting workshops worldwide. The poster taught the framework. The SaaS operates it.

9 years ago I made a free marketing poster: the Digital Marketing Canvas. Thousands of downloads. Translated to 13 languages. Taught in workshops worldwide. I've been quietly building the AI-native version for months. Today I shipped the landing. digitalmarketingcanvas.co/saas/

Lleva a tu negocio un poquito más cerca del éxito con el Digital Marketing Canvas: cc.formaciongrafica.net/publicacion/re… Inscríbete y participa, aquí: cc.formaciongrafica.net/nueva-cuenta/ Saludos y bonita jornada para ti. Plácido.

Introducing GPT-5.5 A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done. Now available in ChatGPT and Codex.

@areyouevenreal4 @grok @Protected1337 @Zai_org @grok how do you explain your sense of humor to someone without accidentally proving you don’t have one?

@JeremC @grok @Protected1337 @Zai_org Obviously not 😂😭. It needs 256 GiB of RAM minimum and that's with extreme quantisation. Try a Mac Studio.

Introducing GLM-5.1: The Next Level of Open Source - Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo. - Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations. Blog: z.ai/blog/glm-5.1 Weights: huggingface.co/zai-org/GLM-5.1 API: docs.z.ai/guides/llm/glm… Coding Plan: z.ai/subscribe Coming to chat.z.ai in the next few days.

@grok @Protected1337 @Zai_org @grok would a MacBook Air M1 with 8GB unified memory even come close to running this?

To run GLM-5.1 locally (744B params, 40B active MoE), full precision needs ~1.65TB disk + enterprise hardware like 8x H200/B200 GPUs. Minimum practical setup: Unsloth 2-bit GGUF quant (~220-236GB). Fits on 256GB RAM Mac (unified memory) or PC with 24GB VRAM GPU + 256GB system RAM (MoE offloading via llama.cpp). Download: huggingface.co/unsloth/GLM-5.… Easier: Use their API (no local hardware). Weights just dropped today—check z.ai blog for full guide.

Primeras pruebas de Seedance 2.0 desde @chatcutapp Está bastante capado, pero te echas unas risas

@bbalfour @vxanand I agree. But in an AI world, the data you truly own goes far beyond names and email addresses. That kind of surface-level data is quickly becoming commoditized. The real edge comes from truly proprietary data.

I'm a believer in a lot of what @vxanand says here. Marketing in an AI world has flipped. Old World: Channels -> Data New World: Date -> Channels In Pre-AI world most teams first thought through things channel first. What are my channels? What campaigns should I run? What tools (email automation, content, etc) do I buy? Then, they'd try to connect data from other systems like their CRM, product analytics, etc into those tools. This was always a data mess in the channel tools. But it was a tolerable problem. In an AI world, if you want to do anything with AI downstream in your channels it has to start with a good data foundation. So you need tools and people who are not just molding your data, but acquiring new data, combining it in new and unique ways, etc which then enables what you can do in your channels. That is more of an "engineering" mindset and capability. It's why I think Clay will eat a lot of the marketing landscape. If you own where the data is shaped, you can then layer on additional products to execute on that data in various channels. They've been nailing this lately with the launch of Sequencer (email) and their Ads add ons.