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- BETTER AI OUTPUT STARTS WITH BETTER CONTEXT
BETTER AI OUTPUT STARTS WITH BETTER CONTEXT
Better prompts won’t fix broken context.
Most teams are trying to get better work from AI by changing the prompt.
That helps, but only up to a point. If the model doesn’t understand the company, the customer, what the team has already learned, and the decisions that shaped the work, it will fill in the gaps with generic output.
That is the real bottleneck we’re seeing teams hit.
This issue is about the layer underneath good AI-enabled GTM. Salo walks through how he uses Obsidian and Claude Code to build a second brain that compounds over time. Greg breaks down why AI output is only as good as the context layer behind it. We’re sharing a simple workflow for turning meeting notes into reusable GTM memory before the useful parts disappear into the ether.
And Chain Reactions, the first live marketing talk show, is back to go behind the scenes on where Myosin and HiveMind are headed next.
The teams that win with AI won’t be the ones generating the most.
They’ll be the ones with better systems for learning, deciding, and executing.
Blake | Co-Founder, Myosin.xyz
CHAIN REACTIONS IS BACK
TBPN isn’t the only game in town.
Chain Reactions Live goes under the hood of the growth machines running frontier tech. No hype or founder worship. Just marketers who have done the work saying what they actually see.
Every other week, a rotating crew goes live to decode the moves everyone in marketing is talking about, break down a product in real time, and put their own instincts under pressure.
The first one pulls the curtain back on Myosin itself. Blake gets into where the company is headed and what’s happening behind the scenes. Matt breaks down HiveMind and how we’re building AI-enabled GTM systems from the inside.
This is Chain Reactions, reborn as the show from marketers, for anyone who wants to understand marketing better, without the BS hype.
MYOSIN LEARNS: How an AI Product Builder Actually Uses Obsidian
This week’s Myosin Learns features Salo, AI product builder at Myosin, walking through how he uses Obsidian + Claude Code to build a second brain that compounds over time.
The principle is simple: don’t just collect notes, articles, transcripts, and ideas. Build a system that makes them reusable every time you work with AI.
“I created a system, and I don’t need to work for the system. The system works for me.”
Learn how Salo sets up an Obsidian vault for context engineering in this week’s Myosin Learns.
Your AI Is Only as Good as Your Context Layer
Most teams are using AI to produce more marketing work before they have built the context layer that makes the work any good.
That is why so much AI-generated marketing feels polished but lifeless. The model can write the post, email, brief, or campaign idea. But if it does not understand the company, customer, proof points, and current priorities, it fills in the gaps with generic marketing language.
A prompt tells AI what to do. Context tells AI what matters.
The first wave of AI marketing was about output. The next wave is about building reusable context systems that help teams preserve what they know, apply it when work happens, and improve over time.
Before you automate another workflow, ask: what context does AI need, where does that context live, who maintains it, and how does the output feed learning back into the system?
Low-Bar, High-Value Workflow: Turn Meeting Notes Into GTM Memory
Most teams lose context because the useful parts of meetings never become reusable.
Try this with your next meeting recap: ask what decisions, assumptions, objections, and reusable context should be preserved before the notes disappear into Slack.

This is the kind of system a Forward Deployed Marketer can help install so your team stops losing the thread between meetings and handoffs.
Where is context breaking down in your team right now?
Reply with one workflow where the same information keeps getting lost, repeated, or rebuilt.
And if you want help installing a better system, ask Myosin about a GTM context audit or FDM workflow sprint.
That’s it for this week.
Myosin.xyz is an AI-native marketing network, made of 100+ members across 26 countries. We vet and aggregate the best marketers from around the world to provide full-stack marketing services to frontier tech companies & blockchains such as WalletConnect, Velora, Spexi, Ripple, NEAR, Starknet, Solana Mobile, Chainbase, POKT Network, Animoca Brands, Rootstock Labs, and many more.
Want to build a better GTM system?
Tell us about your project and book a time HERE!
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