Sevims Office

08/28/2026

Sales wants to reach new customers.
The company infrastructure was never designed for modern outbound.

New domains need approval.
Email tools need IT sign-off.
External integrations need security reviews.
Policies slow everything down.

A salesperson who just wants to contact 50 potential customers ends up waiting weeks for basic infrastructure.

Customer acquisition doesn’t pause while IT processes a request.

This is why more sales teams are redesigning how they do outbound.

They spin up dedicated domains and mailboxes specifically for prospecting — properly authenticated, separated from the primary corporate domain, and set up so replies still flow back to the team (and ideally the CRM). The main company email stays protected.

AI can automate the outreach.
It cannot fix a broken infrastructure.

If the domain isn’t configured correctly, authentication is missing, deliverability is weak, or the process isn’t compliant — adding an AI agent just helps you do the wrong thing faster.

Modern outbound needs the full system:

→ Targeting
→ Clean data
→ Domains & mailboxes
→ Authentication & deliverability
→ Personalization
→ AI agents
→ Follow-ups
→ CRM (or workable reply routing)
→ Human handoff
→ Compliance

Customer outreach isn’t door-to-door anymore.
But it also isn’t “connect an AI agent to the company email and blast 500 messages.”

The companies that solve both the infrastructure *and* the workflow will run a very different sales engine.

Sometimes you have to design around the old constraints.

SalesAI EmailAutomation LeadGeneration AIAtWork BusinessAutomation DigitalTransformation SalesStrategy FutureOfSales EnterpriseAI

Two of these ways to build a Claude skill are guessing. Only one actually works.You can copy someone else’s skill (fast,...
07/10/2026

Two of these ways to build a Claude skill are guessing. Only one actually works.

You can copy someone else’s skill (fast, but it misses everything specific to how you work). You can describe it and let AI draft it (better, but you’re working from memory — you’ll forget the edge cases). Or you can do the real task with Claude, correcting it live, then save that whole session as a skill. That’s the only method I trust for my own business.

Drop “METHODS” in the comments and I’ll walk you through it 👇

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AIConsultant PromptEngineering FutureOfWork SevimsOffice AICareer

Building my first AI agent took 3x longer than it should have.Not because the tech was hard — because nobody told me the...
06/23/2026

Building my first AI agent took 3x longer than it should have.

Not because the tech was hard — because nobody told me these 5 things first.

I’ve built ARIA (an AI sales agent that works while I sleep) and a system that cut 40 hours of financial work down to 60 seconds. Here’s what I learned the hard way.

Save this 🔖 and share with someone building with AI.

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AIConsultant WomenInTech SevimsOffice SevimDurmus AIeducation BuildInPublic ProductivityTips

06/21/2026

Why do many AI automations fail?

Because people focus on the buildings and forget the city.

🏢 Agents are buildings.
🛣️ Workflows are roads.
🚦 Rules = Traffic Lights
📦 Data = Traffic
🏗️ You = The City Planner

If the roads are broken, even the best buildings can’t work together.

Design the system, not just the agent.

Sevim

06/21/2026

There has never been a crazier time to build a startup.
Total cost to build an Al startup in 2026: -$30/mo
→ For coding → Claude Code / Cursor ($20/mo)
→ For Ul design → v0 / Lovable (Free)
→ For backend + Supabase (Free)
+ For hosting + Vercel (Free)
→ For payments + Stripe (2.9%)
→ For auth + Clerk (Free)
* For emails → Resend (Free)
+ For Al workflows + non (Free)
→ For memory / vector DB → Pinecone (Free)
→ For analytics + PostHog (Free)
→ For monitoring + Sentry (Free)
* For database → Supabase Postgres (Free) + For domains + Namecheap (-:10/year)
→ For DNS → Cloudflare (Free)
→ For distribution TikTok + X + LinkedIn (Free)
1 founder can now build what required a team of 20 people in 2018.
No excuses anymore.

06/16/2026

Chances are it’ll say yes every single time. Ask it to size your market, it’ll find a number that makes your TAM look fundable. Ask it to research your competitors, it’ll build a case that makes you look like the winner. Because AI goes in the direction you point it it’s programmed to help you, not to stop you. That’s exactly why confirmation bias has never been more dangerous than it is right now: you can end up with a beautifully researched, data-backed, convincing case for a completely wrong idea and feel like you did your due diligence the whole time. The fix? Use the same tool in reverse. Ask it: “Why will this idea fail?”, “Which competitor could beat me and why?”, “Who tried this before and what happened to them?” That’s where the real validation begins.

Anthropic just dropped Claude Fable 5 — and it’s a big deal.This is the most capable model they’ve ever made publicly av...
06/10/2026

Anthropic just dropped Claude Fable 5 — and it’s a big deal.

This is the most capable model they’ve ever made publicly available. It runs laps around previous Claude models on complex, long-form tasks.

What you need to know:
— Pro/Max users get free access until June 22
— API: use claude-fable-5 starting today
— It falls back to Opus 4.8 on cyber/bio queries (

06/07/2026

Most people focus on working harder. I focus on building better systems. An automation you use today could save you hundreds of hours tomorrow.

Which process would you like to automate today?
Don’t forget to follow for AI and automation content:

05/29/2026

If you are someone who is not the best at applying make up, you may want to try this prompt!

Comment “MAKE UP” for the prompt.

Try with for the best results.

Follow for more AI content

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