Devot AI

27/05/2026

2 numbers that show how big AI has actually become:

$900,000,000,000 - Anthropic's valuation this week. Larger than Sweden's entire economy. Revenue went from $4B to $50B+ in 12 months.

$1,750,000,000,000 - SpaceX + xAI's IPO valuation. Going public June 12. Largest IPO in history. Close to Australia's entire GDP.

3 years ago: "Will AI matter?"
Today: Single AI companies are worth more than nations.

Which surprised you most — 1 or 2? 👇

26/05/2026

When countries start restricting their AI researchers from leaving - that tells you everything about how important AI has become. What do you think? 👇

23/04/2026

Q2 AI buying patterns are shifting, and most vendors haven't caught up.

what we're hearing from buyers this quarter:

1. they're slower. the 2024 "let's just try it" mood is gone. budget holders now want 3-4 vendor comparisons, a clear ROI story, and proof you've shipped before.

2. the scope is smaller but sharper. nobody's asking for "an AI strategy" anymore. they want one workflow automated, one pipeline cleaned, one agent that actually works in production.

3. the decision-maker has changed. ops leads and COOs are running the RFPs, not CTOs. they care about uptime and integration, not model benchmarks.

none of this is bad for teams that ship real work. it's a cleaner market than the hype cycle. but if your pitch still leads with "cutting-edge AI" you're going to lose to someone leading with "this exact workflow, running in 6 weeks, for this price."

got a specific workflow you want built this quarter? we scope the real answer in a 30-min call: tidycal.com/devot

what's the most concrete AI ask you've gotten from a buyer this year?

🚀 Book Your Growth Call — Turn Your SaaS or AI Idea Into a Real, Revenue-Ready ProductIf you’re ready to stop guessing and start building, this call gives you the clarity and direction you need to move fast and build the right way — without confusion or wasted effort.In This Call, You’ll ...

21/04/2026

Most businesses don't have an AI problem. They have an integration problem.

A $30/month AI tool sitting on top of 14 disconnected systems isn't automation. It's another dashboard your ops team has to babysit.

Real automation looks different. Your CRM actually talks to your billing system without a human exporting CSVs. Your support inbox auto-triages, assigns, and drafts replies before anyone picks up the thread. Your Monday reports run themselves at 9am, not after someone spends 4 hours in spreadsheets.

That's what we build at Devot AI. Custom AI pipelines, n8n and Make workflows, MCP servers, and full-stack tools that plug into the systems you already run.

One e-commerce client cut their Monday reporting from 6 hours to 18 minutes. Another stopped paying three VAs to re-key data between Shopify and their 3PL.

What's the one process eating your team alive every week?

If you want to see what fixing it could look like, book a 20-minute call: tidycal.com/devot

🚀 Book Your Growth Call — Turn Your SaaS or AI Idea Into a Real, Revenue-Ready ProductIf you’re ready to stop guessing and start building, this call gives you the clarity and direction you need to move fast and build the right way — without confusion or wasted effort.In This Call, You’ll ...

17/04/2026

Spending 15+ hours a week manually pulling reports across tools?

Most ops teams we work with start in the same place: a patchwork of spreadsheets, cron jobs that break, and a "Monday report ritual" nobody enjoys.

Here's what shipped for a client this week:

• Custom MCP server pulling from 5 data sources on a schedule
• Normalization layer so downstream reports actually match
• Slack ping to the sales team when the final report lands in their shared drive
• 9 days from kickoff to go-live

Result: 18 hours per week of manual work eliminated, and 4 more workflows the team is now queueing up to automate.

The pattern works whether you're reconciling finance data, compiling BD reports, or routing customer data across tools. What's different for each business is what lives inside the orchestration layer, not the approach itself.

If your team is drowning in manual reporting and you want to see what a clean setup looks like, book a 30-min call and we'll walk you through how we architect these: tidycal.com/devot

🚀 Book Your Growth Call — Turn Your SaaS or AI Idea Into a Real, Revenue-Ready ProductIf you’re ready to stop guessing and start building, this call gives you the clarity and direction you need to move fast and build the right way — without confusion or wasted effort.In This Call, You’ll ...

16/04/2026

A logistics company came to us with a problem they thought was about speed.

Their dispatch team was spending 3 hours every morning manually matching delivery orders to available drivers. They wanted it faster.

But the real issue was visibility. They had order data in one system, driver availability in another, and route preferences in a spreadsheet someone emailed around every Monday.

We built an automated matching pipeline that pulls from all three sources, applies their routing rules, and generates the day's assignments by 6am. No manual work.

Result: 3 hours of morning coordination eliminated. But the bigger win was accuracy. Manual matching had a 12% error rate (wrong driver, wrong route, missed time windows). The automated system runs at under 2%.

Their ops manager told us the team used to dread Monday mornings. Now they start the week with assignments already done and fewer customer complaints by Friday.

If your team is still manually coordinating between disconnected tools every day, that's a solvable problem.

Book a free 20-min call to see what's possible: tidycal.com/devot

What's the coordination bottleneck in your operations?

15/04/2026

something i learned the hard way about building automations for clients.

early on, we'd get a request like "automate our invoicing" and jump straight into building. we'd map the workflow, connect the APIs, set up the triggers, and deliver something that technically worked perfectly.

and then nobody would use it.

took me a while to figure out why. the problem was never the automation itself. it was that we were automating the process as it existed on paper, not how the team actually worked day to day.

here's what i mean. one client had an "invoice approval process" that officially went through 3 people. but in reality, the ops manager just approved everything under $500 herself because waiting for 2 other people meant late payments. she'd been doing it that way for years.

we built the automation to enforce the official 3-person chain. she hated it. it was slower than her workaround.

the lesson: before you automate anything, sit with the people who actually do the work. not just their managers. watch them. ask them where they cut corners and why. those shortcuts aren't laziness, they're intelligence. they've figured out what actually matters.

now our first step on every project is a 2-day observation phase. no building, no coding. just watching and asking questions. it's added maybe 15% to our project timelines but it's cut our "nobody uses this" rate from about 40% down to almost zero.

the best automation isn't the most technically impressive one. it's the one that fits so naturally into someone's workday that they forget it's there.

what's the most frustrating software or process your team is supposed to use but actually works around instead?

15/04/2026

A 4-person logistics company came to us last month with a simple problem: their dispatch coordinator was spending 3 hours every morning manually matching drivers to delivery routes.

They had a spreadsheet with 40+ daily pickups, driver availability in a WhatsApp group, and route preferences in someone's head. Every morning was a puzzle solved from scratch.

We built them a lightweight automation in 11 days.

Now their system pulls new orders from their management tool overnight, checks driver availability from a shared calendar, optimizes routes by zone and vehicle capacity, and sends each driver their schedule by 6am. The coordinator reviews exceptions only.

Result: 3 hours down to 20 minutes. And the routes are actually better because the algorithm catches combinations a human doing it manually at 5am never would.

The interesting part? The company thought they needed a $50K fleet management platform. The custom automation cost a fraction of that and does exactly what they need, nothing more.

We've seen this pattern across dozens of small businesses. The fix is rarely a massive software purchase. It's usually a focused automation built around how your team actually works.

Curious what that looks like for your business? Book a free 30-min process audit: tidycal.com/devot

🚀 Book Your Growth Call — Turn Your SaaS or AI Idea Into a Real, Revenue-Ready ProductIf you’re ready to stop guessing and start building, this call gives you the clarity and direction you need to move fast and build the right way — without confusion or wasted effort.In This Call, You’ll ...

10/04/2026

Your team is spending hours on tasks that should take minutes. Here's how we know.

We ran process audits for 12 small businesses last quarter. Every single one had at least 3 workflows where people were manually moving data between systems, sending status updates by hand, or chasing approvals through email.

The average time wasted? 23 hours per week, per company.

Here's what the fixes actually looked like:

One logistics company had dispatchers copying order details from their ERP into a spreadsheet, then pasting tracking numbers back. We connected the two systems with a single integration. Saved them 8 hours a week and eliminated copy-paste errors that were causing delivery mix-ups.

An e-commerce brand was manually checking inventory across 3 warehouses every morning before updating their store. We built an automated sync that runs every 15 minutes. Their stockout rate dropped 40% in the first month.

A SaaS startup had their sales team spending Friday afternoons building pipeline reports in Google Sheets. We set up automated CRM reporting that generates itself. The team got their Fridays back.

None of these required AI agents or complex machine learning. Just smart integrations built on understanding how the business actually works.

Curious where your team's hidden hours are going? Book a free 30-minute automation audit and we'll map it out together: tidycal.com/devot

🚀 Book Your Growth Call — Turn Your SaaS or AI Idea Into a Real, Revenue-Ready ProductIf you’re ready to stop guessing and start building, this call gives you the clarity and direction you need to move fast and build the right way — without confusion or wasted effort.In This Call, You’ll ...

10/04/2026

We're offering free 30-minute automation audits this month. Here's what happens on the call:

We look at your top 3 most time-consuming processes together. We map them out live and identify what can be automated today vs. what needs a phased approach. You walk away with a clear priority list, estimated build times, and projected ROI for each.

No pitch. No slides. Just a working session.

Last quarter we did 20+ of these calls. Every single one identified at least 5 hours/week of savings. Some found 15+.

The most common wins we uncover:
-> Lead routing and follow-up sequences
-> Invoice and payment reconciliation
-> Client onboarding workflows
-> Internal reporting that nobody wants to do manually

If you've been thinking about automation but aren't sure where to start, this is the lowest-risk way to find out.

Book your free audit: tidycal.com/devot
Or message us directly. We'll get back to you within 24 hours.

What's the one process your team dreads doing every week? That's probably where we'd start.

🚀 Book Your Growth Call — Turn Your SaaS or AI Idea Into a Real, Revenue-Ready ProductIf you’re ready to stop guessing and start building, this call gives you the clarity and direction you need to move fast and build the right way — without confusion or wasted effort.In This Call, You’ll ...