In the process of overhauling @ChatAE_ai to take it to the next level. These are the principles driving things: 1. Become by far the easiest way to leverage AI to find & organize account information in one place 2. Give the power of GTM-tuned coding agents to power users 3. Run 10x more tasks in the background for users 4. Significantly more bang for buck for credits Will be fun to see how we do.

Monday morning thoughts on why so many AI GTM tools produce such trash messaging. Obviously I'm biased but I really think the core issue with so many GTM tools is that the messaging they automate end up being so AI-sounding cuz the research/triggers aren't fundamentally strong as they are focusing so much on the automation/workflow side of things. When I tested some LinkedIn tools like @heyreach_io, @gojiberryai, etc. the messaging was so damn bad that I had to resort to either sending bad messaging or using the same messaging for all contacts. (What would've been killer would be having @chatae_ai Canvas produce the unique messaging for each contact then being able to API that into the LinkedIn tool, but those tool's APIs ALSO only focus on automation ie. getting more contacts in, not on customizing messaging created outside their tool.) Part of the "magic" that ChatAE/Canvas does that I wonder if other tools will start doing is before a user can do anything, ChatAE/Canvas has already in detail created account, ICP, persona, pain, benefits profiles about the user's company. And then all of that (plus all internal sales playbook, enablement, customer convos, CRM info, etc.) becomes context that is used for everything. For so many tools, even leading tools in GTM, the "context setting" is fairly minimal/basic amounting to like 3 text fields in a Profile setting. May be OK for an individual user, breaks HARD at scale.

I wrote about the future of GTM AI and the potential for a true "GTM OS." Inspired by a conversation last week with @scottmartinis at SaaStr Annual about the future of GTM AI. IMO Scott is the smartest and most forward-thinking person in GTM Engineering today. We were talking about what a true GTM Operating System actually looks like — not “AI for sales” in the sense of better prompts or chatbot assistants, or just an "AI CRM", but actual infrastructure. And how the GTM Engineers building this way right now are treating their go-to-market the same way software engineers treat production systems: version-controlled, spec’d, tested, and deployed programmatically. That conversation crystallized something we’ve been building toward with @ChatAE_ai Canvas — and pushed me to write up what this architecture actually looks like, where Canvas fits today, and what’s coming next. Check it out here: chatae.ai/blog/building-ai-g…

I’m at the @saastr Annual conference this week. Here’s the play I’m running to book meetings with GTM leaders who are attending — and the play you can steal for your next conference or event: Step 1: I took this pic of the sponsors and uploaded it to @ChatAE_ai Canvas I told Canvas to give me only the companies that would be a good fit for us. This is where using Canvas instead of a generic tool like Claude is 10x better — it already knows to ignore GTM tech companies and companies like Google or Replit because it already knows our ICP. I don’t have to prompt it a million times to teach it what a good fit looks like.

Today we're launching Canvas by @ChatAE_ai - the fastest way to build GTM AI apps, agents, and automations. Pre-loaded with GTM skills & tools. No infrastructure to manage.

Account planning in 2026: using @ChatAE_ai Canvas to build you interactive Org Charts on a Saturday night