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Скачать или смотреть Make.com Agents Are DRAINING My Credits (Credit Usage Explained)

  • Digitising Events - AI With Human In The Loop
  • 2025-09-02
  • 116
Make.com Agents Are DRAINING My Credits (Credit Usage Explained)
AIAgentsAIWorkflowAutomationCostsAutomationRealityHumanInTheLoopMakeAutomationMakeIntegrationProductivityAutomation
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Описание к видео Make.com Agents Are DRAINING My Credits (Credit Usage Explained)

I'm hammering out agents like fury right now - building systems, experimenting with workflows, pushing the boundaries of what's possible with Make.com, AI Agents as part of my Human In The Loop experiment pushing personal productivity and reimagining a media business. But I just caught something that could absolutely blindside you if you're heading down the same path.

🔥 The Problem: I ran one scenario and watched 293 credits vanish. The Make.com interface showed individual modules costing 1, 1, and 4 credits each. Simple maths said this should cost about 58 credits total. So where did the other 235 credits disappear to?

💡 The Discovery: Make.com agents aren't just running your workflow - they're secretly firing up THREE system scenarios behind the scenes every single time. That "14 credit" module? It's actually costing you 42 credits because the agent needs those system tools to function.

What I Share:
• Why Make.com's credit display is misleading for agent workflows
• The hidden 3X multiplier that's burning through credits faster than you think
• My actual credit breakdown showing where the missing 129 credits went
• Why this matters more as you scale (26 runs daily gets very expensive, very fast)

📺 Chapters:
00:00 The Credit Mystery - 293 Credits Gone
01:00 Breaking Down the Maths
02:00 Where the Missing Credits Actually Went
03:00 The Hidden 3X Agent Multiplier
04:00 Why Make.com's Display is Misleading
05:00 Scaling Costs Reality Check
06:00 What I'm Investigating Next

KEY INSIGHT: When you're building with Make.com agents, multiply every displayed credit cost by the number of system tools your agent uses. That's your real cost, not what's shown in the interface.

🎯 The Reality: We're deep in experimentation mode, building like maniacs, testing everything. But catching this now could save you hundreds of credits later. The transparency definitely needs improving.

What I'm investigating next: Can we pre-load static data to reduce system tool calls? Is there a way to make agents cheaper without losing functionality? I'll update if I crack it.

Building real automation systems means hitting these gotchas head-first. Better to share them than let everyone learn the expensive way.

📊 Human in the Loop AI Series:
Raw discoveries from the automation trenches - the wins, the expensive mistakes, and everything they don't tell you in the tutorials.

🎯 Subscribe for more: Real automation costs, honest takes on what works vs what drains your wallet, and lessons from actually building these systems in production.

#MakeAutomation #AIAgents #AutomationCosts #HumanInTheLoop #MakeIntegration #ProductivityAutomation #AIWorkflow #AutomationReality

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