People expect Jarvis and get another intern tripping everyday.
That's what has happened with OpenClaw.
I have setup 2 OpenClaw agents + Vector DB and some local LLMs, with advanced LLM routing natively. One on Pi 5 and another one on my old Macbook Pro M1.
It will forget it has access to certain tools it build, even if you ask it to contextualize, take snapshot, make SoPs for certain tasks.
I found that I have become a full time support for my OpenClaw rather than the other way around.
When I was able to get more out of it? Event based systems that activates the agent, with specific prompting that makes sure it runs well.
Batching processes, for tasks that need to be done periodically. Again, the most important part will be prompting.
I am right now, trying to formalize event based architecture for it since that is the one that works the best.
This is how I saved 50 hours screening 100 job applicants.
With an AI recruiter that conducted verbal phone screens.
500 applications came in for one role.
Traditional HR approach:
→ 8-16 hours just on scheduling emails
→ 25-33 hours on actual calls
→ 8 hours taking notes
→ 4-6 hours comparing candidates
→ 3-4 weeks of calendar time
📊 Total: 61 hours spread over a month
My AI approach:
→ Set up ElevenLabs AI agent (1-2 hours, one-time)
→ AI conducted 100 verbal screens (10 min each)
→ Reviewed transcripts and recordings (6 hours)
→ Made final decisions (2 hours)
→ 1.5 days of calendar time
⚡ Total: 10 hours. Done in 36 hours.
💰 Saved: 50+ hours of work. 3 weeks of waiting.
The setup was absurdly simple:
>> 🤖 ElevenLabs AI Agent ($22-68/mo depending on volume) 🔗 Zapier for automation ($50/mo)
>> 📋 Notion for tracking (free or $9/mo)
Total cost: $72-127/mo
For 100 screening calls, actual cost was $68 for ElevenLabs (Creator plan $22 + $46 overage).
💡 That's $0.68 per candidate screened.
Here's what shocked me most:
The AI was MORE consistent than I would've been.
✓ Same questions every time
✓ Same evaluation criteria
✓ No decision fatigue by candidate 73
The candidates actually preferred it.
✓ No scheduling back-and-forth
✓ No waiting weeks for a response
✓ Just a 10-minute call at their convenience
I wasn't replacing human judgment.
I was getting to the judgment part faster.
The AI handled pattern-matching:
✓ Communication skills
✓ Basic qualifications
✓ Salary expectations
✓ Availability
I handled what actually matters:
✓ Vision alignment
✓ Cultural fit
✓ Strategic thinking
✓ Final decisions
This is what "AI-native operations" actually means.
Not dashboards. Not hype.
Just removing the parts that drain your energy so you can focus on the parts that require your brain.
🚀 If you're hiring right now and drowning in applications, you need this system.
👇 Comment "HIRE AI" below and I'll DM you the complete setup guide, the exact workflow, agent prompts, and automation I used.
Could this be the beginning of Slack’s downfall?
When the CEO of a major enterprise platform leaves to join OpenAI as CRO, it’s not “just another exec move.”
It’s a lighthouse.
It signals that even the leaders of legacy collaboration tools believe:
👉 AI-native work is going to swallow chat-based work.
Slack has been slower than expected in:
AI agent adoption
Automation
Integrating true context-aware workflows
Moving beyond being a better IRC with emojis
Meanwhile, OpenAI is building an enterprise layer that doesn’t just chat — it thinks, acts, summarizes, delegates, and executes.
If agents handle operations, and AI handles communication…
Why do we need Slack the way we used to?
Slack becoming “the interface” for work was the dream.
But AI is making the interface irrelevant.
Work is shifting from typing in channels → asking systems to act.
And when your CEO leaves for the company accelerating that shift…
That’s not a coincidence.
That’s a narrative.
Is Slack the next company to be disrupted by the very thing it tried to bolt on too late?
I’m going to be marketing my new brand MarketSprint through SEO/AEO, inspired by @Webflow’s latest eBook on AEO.
We quietly launched this brand and started taking pilot projects — with zero active marketing so far. As of now:
-- Domain Rating (DR): 17
-- AEO Score: 0 across
-- Some organic traffic trickling in
Now, I’m going to start leveraging the eBook and experiment with AEO to see what happens.
Follow along — I’ll share updates openly (no gates), answer questions, and document everything as I go.
This saved our agency.
We were working hourly and per scope.
Work was sporadic.
3 months without work burned our runway. I almost gave up.
Productizing/retainers were cool a few years ago, we thought let's join the party. Our inspiration - @FlowoutHQ
Took 3 months to move most of our clients. 80% retained on retainers and others on hourly contracts.
Things changed, cash flow improved, we were able to hire more talent, retain talent and clients.
Gave us more flexibility to do lead generation.
Cashflow compounded as we moved along, allowing us to expand with calm demeanor as compared to always firefighting.
Took 6 months or so to be effective.