Nearly every AI research tool promises insights. Many still can’t tell you how much they matter. And very few connect them to what your whole company should do next. so I decided to try and build a better way Day 4: been using Claude Console to stress test AnnaGPT Claude Projects: dedicated workspace per client curated docs + running chat history as your “operating system” fast iteration on thinking + writing Claude Console: improve my prompts repeatable experiments + evaluation ran another company thru the 5-layer architecture been running into context limitations (longer conversations hit a wall) so then Claude is condensing the convo and I don't always want Claude to do that (especially not with research) so then I just open a new chat in the same Project which seems to fix this Results: what's getting me excited is that it's the first time I'm actually able to quantify all those qualitative convos other tools pull out insights left and right without helping you figure out STRENGTH + ACTION what to pay attention to, what to put on the backburner for now, and what are immediate next steps across the entire company (and then actually help you implement that, all in one tool) Open Questions: what is the meaning of life Next: I wanna try to work on this for my own company using my own client and prospect conversations, let's see AnnaGPT finds, organizes and scores the insight buried in your buyer conversations that changes how your entire company goes to market. curious? happy to show you, just send me a DM
most b2b teams *talk* to customers but only ~10–30% run a repeatable research system. The rest are running on sales/support anecdotes. 🫠 Because there's a lot of activity that *feels* like buyer research, but isn't: Sales call notes filtered through a rep...
Why did it take me so long to see this? really, to accept it Had a conversation yesterday that finally crystallized what's been happening in the market. 👇 Companies aren't looking for traditional consultants anymore. They're looking for AI-Powered Consultants. Not consultants who ignore...
I wrapped up Season 5 of Building With Buyers , but then this convo was TOO GOOD + too relevant so then I un-wrapped up Season 5 😂 at least for a bit Caitlin Sullivan joined me to talk about how...
B2B has a dirty little secret: 🫣 We pretend buyers are rational. Because it's easier than admitting they're human. Here's what we say drives B2B buying decisions: ✅ ROI ✅ Feature comparisons ✅ Technical specs ✅ Business cases so logical, right? chances are our work mostly revolves around...
If dashboards were enough, every mid-market B2B company would sail past $30M ARR. They don't. 😬 Not because they lack data, tools, or smart people. They stall because no one can agree on what the data actually means. 👈 EXAMPLE: Three executives. Same...
My cat has a more rigorous research process than most B2B companies (it's probly the glasses) Meanwhile, companies are treating customer research like throwing spaghetti at a wall and asking AI to help them figure out what noodles stick. Here's...
The AI insight problem that nobody's talking about 😳 We added AI to our customer research process. Suddenly, everything is labeled an "insight" 🤯 🫣 🫠 Customer mentioned pricing twice? Insight. Someone used the word "integration" in feedback? Insight. Pattern...
I'm noticing confusion in b2b around customer research - we think we're doing customer research ( ✅ ) but in reality it's usually just product research 🙈 (to improve the product) Product research asks: "How do we improve our features?"...
the problem with dashboards: they don’t tell you where to grow. They tell you where you’ve been. Mid-market teams don’t lack data. They have plenty of dashboards: CAC. LTV. Funnel conversion. Segment performance. I remember attending a weekly meeting w/...