AI has played with my mental health. Let me explain why. I use AI heavily through lots of different agents that I’m running in production. My productivity has skyrocketed and it’s added immense value. BUT The biggest challenge I have is this: what I’ve done is never enough. Let me explain. I can now do 10 tasks at once and usually complete in a day what would have taken me a week. Because of that, I’m left at the end of each day wishing I’d done more, feeling frustrated with myself for not pushing harder. No one talks about this, but there’s a real high to being so efficient and seeing the outputs, and you’re left chasing that each day. We thought AI would help with burnout, but I see it making things worse if you don’t catch yourself doing this.

I pointed Claude Code at my biggest competitor's socials. 4 platforms, 165 posts, one knowledge file my agents now reuse everywhere. Setup was simple. Told Claude Code to use the Trigify MCP and monitor Brandwatch across Substack, X, Reddit and YouTube. It created the searches automatically. Then it analysed every post for: → Positioning and messaging themes → Product features and launches → Wins and traction signals → Frustrations and pain points → Pricing and value perception → Audience profile and sentiment 165 posts distilled into one markdown file. But the file doesn't sit in a folder doing nothing. It becomes context for every other agent I run inside Claude Code. Writing an email sequence? It pulls competitor context. Building a landing page? It knows how they position. Drafting a blog? It references what's resonating. One knowledge file. Reused across copy, social, email, blog, strategy. Stack five or six of these and your agents understand the whole competitive landscape before they write a single word.

Hermes agent has become my full time Ironman coach for my first race I have in August.. Its hooked up to Strava Whoop. It created me a 30 week plan which I've been executing daily on. Every day its checks how I'm doing against my Strava & Whoop data and adjust the plan based on how well or badly I'm doing. Here's its latest words of advice to me about completing it ahead of the cut off time. I still feel like its going to be a survival march tbh..

1k YouTube subs > 10k LinkedIn followers. LinkedIn is window shopping. YouTube is where customers actually convert.

Testing Qwen 3.7 for my @NousResearch Hermes agent. Anyone tried it? So far looks pretty nice and similar to my Opus experience..

500 signups last month. 35% activation. Profitable. The interesting shift is who's actually using us now. We launched the API, MCP and CLI a few months back. The CLI is sitting right behind the MCP for usage. (API essentially is the main driver for usage within Trigify.io currently) Did not expect that. One theory I have for whats fuelling this is.. If 2025 was the LLM year, 2026 is the year of agent harnesses. Think OpenClaw, Hermes, all the rest. And the builders using those harnesses for GTM are pulling social data in as context for their agents. → Competitor and ICP engagement patterns → Tone of voice training for monitoring agents → Trend detection on X, LinkedIn, Reddit, then deeper context from YouTube, Substack and podcasts We started as social signals for GTM teams. We're becoming the social context layer for agents. Same data, much bigger surface. What else? → 11 socials live now more to come → Hired a Founding AE starting soon (Enterprise is massivly growing for us_ → 100% organic growth still → New UI & UX coming soon Negatives? → Pure PAYG (i.e no spend on sign up) was hurting us. Lots of people using dummy cards so getting usage out of us without spending anything We have now introduced a simple 3 tier pricing plan, which has base level of consumption usage on top should you wish. → Website is old and not fitting to what we are today → Small team many people forget we are only 5. Customers over 1k means working flat out even with a team of agent to hep support. (I think we are to generous with our time for lower paying customers) All things considered time to pour some gasoline on.

Introducing Signals and Insights. Signals: 16 handcrafted, high-intent GTM signals, ready to run against your target accounts. Someone posting about a topic you care about. A key person changing role. A person entering a buying window. Insights: even the best GTM leaders don't always know what to look for. Our AI now analyses every data point across socials for the people you monitor and your wider TAM, surfacing what matters before you'd think to look. A narrative shift. A leadership team aligning on one topic. 30,000 VPs leaning into the same subject. All flowing into one signal timeline. DM for access.