theGrowther

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theGrowther

theGrowther

@theGrowther

growth marketing x AI. Talking about martech, marketing AI automation, web3 OG Intern @ https://t.co/vA2DaWlE9T

europe Katılım Eylül 2025
22 Takip Edilen3 Takipçiler
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Andrew Carr 🤸
Andrew Carr 🤸@andrew_n_carr·
Fable feels like a polish freelancer. Shows up, speaks in its own dialect, writes the best code you've ever seen, and then disappears
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theGrowther
theGrowther@theGrowther·
6/6 ⚡ 1:7 human-to-agent ratio at TheGrowthLabs. Every minute counts. Agency output multiplies when you stop being the bottleneck. Let agents plan the work.
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theGrowther
theGrowther@theGrowther·
5/6 ⚠️ Handing over orchestration is risky without guardrails. One loop error with no circuit breaker burns your API budget in an hour. Build boundaries, not step-by-step paths.
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theGrowther
theGrowther@theGrowther·
1/6 🧵 Stop writing step-by-step prompts. You're treating AI like an intern when it can be a project manager. Define the outcome. Let the agent figure out the path.
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theGrowther
theGrowther@theGrowther·
6/6 🎯 Fable 5 has a place for complex edge cases. For 95% of daily agency work it is overkill. Constrain your prompts. Control your tokconomics.
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theGrowther
theGrowther@theGrowther·
5/6 🔹 10% context - who you are, what the goal is 🔹 80% rigid logic - step by step execution rules, no deviation 🔸 10% formatting - exact JSON output structure
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theGrowther
theGrowther@theGrowther·
2/6 Greg Isenberg one-shotted a Monopoly game with Fable 5. Cool trick. But Mark Kashef said it better: we are in the era of "tokconomics." With great power comes massive token burn.
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theGrowther
theGrowther@theGrowther·
1/6 🧵 Fable 5 is not an upgrade. It is a financial liability. Agency owners are swapping their n8n stacks to the newest model and burning cash on token loops that do nothing.
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theGrowther
theGrowther@theGrowther·
6/6 ❌ Building complex retry logic just to force the model to finish ✅ Trusting the agent to do its job Still building error-check agents? Or letting the new models run?
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theGrowther
theGrowther@theGrowther·
5/6 ⚡ 1:7 human-to-agent ratio at TheGrowthLabs. Every minute counts. I can't babysit seven agents. Opus 4.8 lets me move from supervising workflows to directing them.
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theGrowther
theGrowther@theGrowther·
1/6 🧵 I just deleted three months of n8n scaffolding. My AI stopped being lazy. Claude Opus 4.8 turned my entire error-checking system into technical debt. I'm retiring my supervisor agents. Here's why.
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theGrowther
theGrowther@theGrowther·
6/6 No retry logic and no circuit breakers means your swarm is just automated chaos. Build the system. Watch the outputs. Stop typing single prompts.
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theGrowther
theGrowther@theGrowther·
5/6 ⚠️ 100 agents running in parallel means 100 points of silent failure. One API timeout ruins a deliverable if nobody's watching. That's why AI observability is blowing up in 2026.
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theGrowther
theGrowther@theGrowther·
1/6 🧵 Stop treating AI like a chatbot. 1-to-1 prompting is a bottleneck. Claude just shipped parallel agents. Jack Roberts showed it spinning up 10 at once for speed and accuracy. This is how we run TheGrowthLabs.
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