If work-doesn’t-flow, build a workflow (with AI)

ByAndres Muñoz Last updated:

What’s ahead:

  1. What does Microsoft’s CEO mean you need “token capital”?
  2. New deals on FirstPromoter, FMP, Atomic One, and others.
  3. How to build an AI workflow without overspending (Make vs n8n)
  4. The 10-hour workweek with AI Agents

Last week, Microsoft’s CEO posted a piece arguing that in an AI economy, every company needs to build its own “token capital” (AI capabilities) or risk giving away all its value to a handful of big models.

Plenty of founders read that as a green light to go build everything in-house. For a small or medium-sized business, that could be the fastest way to blow your budget on something a vendor already does better for a few dollars a month.

We found the teams getting this right aren’t blindly building or buying. They are putting financials ahead of everything else to decide when to buy and when to build. Here’s how they think:

Buying is the default and building is the exception

  • For an SMB, building agentic workflows from scratch usually means paying twice: once for the subscriptions you keep anyway, and again in the hours of engineering time to rebuild what already exists.
  • A vendor has already solved the boring 90%: the security, the integrations, the edge cases nobody thinks about until they break.
  • Start from “buy” and make every build justify itself. If you can’t say in one sentence why owning it beats renting it, you’ve found your answer.

Only build when the workflow is specific to your business

  • For generic capabilities like transcription, support replies, document parsing, and lead scoring, you shouldn’t build from scratch. Vendor solutions are usually cheaper, better, and not your problem to maintain.
  • Building makes sense for a budget-conscientious SMB when you’ve identified an edge from having your own automated system. It’s personalized, specific to your needs, and might change over time. 

The most expensive build is the one you have to keep alive

  • Building is never a one-time cost. Someone has to maintain it, patch it when an API quietly changes, and inherit it when the person who made it leaves. 
  • Before you build anything, price the second year. The first year is usually flattering for most builds and tools. Many times, the second is where the real bill shows up.
  • There are real cases where building still wins despite all this: when vendor pricing punishes you at scale, or when you genuinely can’t let data leave your walls. Outside of those, buying usually keeps you leaner.

💸 Best New Deals

🧠 How to Build AI Workflows Without Code or a Blown Budget (Make vs n8n)

  • Start with one repetitive task that costs you real hours from your week.
  • Wire it together with a no-code tool like Make or n8n. Both connect the APIs of the apps you already pay for a linked inbox, sheets, CRM, Claude, ChatGPT by dragging blocks instead of writing code, so you’re not hiring a developer to do it. Make is currently the more popular workflow builder tool among our users.
  • Put the AI step only where judgment is needed (drafting, summarizing, classifying) and let the plain automation move the data. Don’t burn model credits on work a free rule could do.
  • Cap usage on every workflow before you turn it on, so one runaway loop can’t drain your credits overnight.
  • Add the next workflow only once the first one pays for itself. Many people realize here they only needed a SaaS after all.

🎤 The 10-Hour Workweek with AI Agents

If productivity is your main goal when it comes to AI workflows, then all you may need is a single tool that changes everything.

On a recent NachoTuesday, Andy (Marketing Lead at NachoNacho) talked to Antoni Olendzki, GTM at Viktor.com, about how to achieve a 10-hour workweek through AI automation. Check it out by clicking below:

🤝 Upcoming Events

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These are exclusive networking events designed for meaningful connections with AI and SaaS leaders.

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Best,
The NachoNacho Team

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