u/SkyProfessional1025

Fast-growing agency needs editors across multiple content types.

TYPES WE NEED:

- Real estate tours

- Talking Head

- Educational/explainer

- Product reviews & e-commerce

- Motivational/spiritual

- News commentary

- Gaming highlights

- Fitness/health

- Food/cooking

- Weddings

- And more...

REQUIREMENTS:

✔️ 9:16 vertical editing experience

✔️ Fast pacing & retention tactics

✔️ Clean captions/subtitles

✔️ Reliable turnaround (24-72 hours)

BUDGET:

- 10-15$ per video (short-form 30-90 sec)

- 7$/min for longer content

VOLUME: Ongoing work, 10-50 videos/week across team

TO APPLY:

- Portfolio link (show variety if possible)

- Your niche specialty (Multiple Niches Is Better)

- Availability

Every week, a founder books a sales call with me asking for an AI agent. And almost every week, I end up telling them they probably don’t need one.

I build automations and AI systems for founders. Forty-plus projects in, the pattern is so consistent now I can predict the conversation before it starts.

They come in wanting magic. They watched a Loom video of some “autonomous sales agent” closing deals while the founder sleeps. They read the LinkedIn post about the “AI employee” replacing an entire ops team. Some have already told their board they’re building one.

Then we hop on Zoom, and within fifteen minutes I’m explaining that what they actually need is a straightforward internal automation with one LLM call in the middle.

You can literally watch the disappointment hit their face.

Here’s what’s really happening in the market right now: most “AI agents” being deployed in real businesses are just automations with a language model attached. That’s it. The “agent” label mostly exists because “automation” doesn’t trend on Twitter.

And to be fair, these automations work. They save serious time. They generate real ROI. But founders paying $30k for an “AI agent” don’t exactly love hearing they could’ve captured 90% of the value with a $4k automation.

Three quick examples from the last six months:

Telehealth founder. Wanted “an autonomous AI receptionist that handles everything.” What she actually needed was a workflow that reads intake forms and routes patients to the right clinician. We shipped it in six weeks. Saves the team four hours a day. She hired me again last month.

Fintech client. Asked for a “fully agentic finance copilot.” What they really needed was a script that reconciles ACH discrepancies before they hit the dispute queue. One model call. Everything else was plain code. Saved them an entire ops hire.

Medspa chain. Wanted “AI marketing automation.” What they needed was a simple workflow that monitors no-show patterns and triggers personalized recovery messages. Three steps. No agent. Revenue jumped 14% last quarter.

None of these are agents. They’re automations.

And every single one outperformed the original “agent” idea because the agent would’ve hallucinated something dumb by week three and destroyed customer trust.

Why agents keep failing in production:

They’re given too much autonomy.

A good automation makes one decision at a time with clear rules at every branch. An agent gets handed a vague goal and told to figure it out.

Looks incredible in a demo.
Turns into a disaster in your support queue at 2am.

The companies quietly winning with AI right now? They’re mostly running boring automations.

“We wrote a Python script with one LLM call” doesn’t make headlines, so nobody talks about it.

The vibe-coded prototypes built with Bolt, Lovable, and Cursor over the last 18 months are getting ripped out everywhere right now. Half my pipeline is founders who spent $50k on a “next-gen AI agent” that burns tokens, can’t be audited, and collapses the moment a customer behaves unexpectedly.

I rebuild them as simple automations, and suddenly they start making money.

In regulated SaaS, agents are even worse.

HIPAA and SOC 2 reviewers want to know exactly what your system does, in what order, every single time. An automation gets through that conversation in 20 minutes.

An agent turns it into a six-month compliance nightmare.

How to actually decide:

If you can map the workflow as clear steps, you want an automation.

If the workflow has more than five branches with genuinely unpredictable inputs, then maybe you want an agent.

If the cost of a wrong answer is high, you want an automation.

If compliance will ever review it, you definitely want an automation.

If you’re building AI products right now, there’s probably more money in selling honest automations than chasing the “agent” narrative.

The market is getting smarter. Founders burned in the first wave are warning the next wave.

Be the person who ships a clean automation in six weeks that works reliably on Tuesday and still works on Thursday.

Builders, founders, operators, what’s actually working for you right now? What keeps breaking? Curious to hear what people are seeing in the field.

Every week a founder books a sales call with me asking for an AI agent. Every week I end up telling most of them they don't need one.

I build automations and AI agents for founders. Forty-something projects in. The pattern is so consistent now I can predict the call before it starts.

They come in wanting magic. They saw a Loom video of someone's "autonomous sales agent" closing deals while they sleep. They read the LinkedIn post about the "AI employee" running an entire ops team. They've already told their board they're building one. Then we get on Zoom and within fifteen minutes I'm explaining why the thing they actually need is an internal automation with one LLM call in the middle.

You can watch their face fall in real time.

Here's what's happening in the market right now. Most of the "AI agents" shipping to real businesses are just internal automations with a language model bolted in. That's the whole product. The agent label is mostly there because automations don't trend on Twitter.

And the automations work. They save real money. They print real ROI. But the founders paying $30k for an "agent" don't love hearing they could have gotten 90% of the value from a $4k automation build.

Three quick examples from the last six months.

Telehealth founder. Wanted "an autonomous AI receptionist that handles everything." After an hour on a call I told her she needed a workflow that reads intake forms and routes them to the right clinician. We shipped it in six weeks. Saves her clinicians four hours a day. She paid me again last month.

Fintech client. Wanted a "fully agentic finance copilot." What they needed was a script that reconciles ACH discrepancies before they hit the dispute queue. One model call, the rest plain code. Saved them a full ops hire.

Medspa chain. Wanted "AI marketing automation." What they needed was a job that watches their booking system for no-show patterns and triggers a personal recovery message. Three steps. No agent. Booked 14% more revenue last quarter.

None of these are agents. They're automations. And every one of them outperforms the agent the founder originally asked for, because the agent would have hallucinated something stupid in week three and burned the client's trust forever.

Why agents keep failing in production

They're given too many decisions to make. A good automation has one decision per step and a clear rule for what happens at each branch. An agent gets handed a goal and told to figure it out. Beautiful in a demo. Catastrophic in your customer support queue at 2am.

The teams in your competitor's office quietly crushing it with AI right now? They're running boring automations. "We wrote a Python script with an LLM call" doesn't make the trade press, so you don't see it.

The vibe-coded prototypes from Bolt and Lovable and Cursor that landed in the last 18 months are mostly being torn out right now. Half my pipeline is founders who paid $50k for a "next-gen AI agent" build that's bleeding tokens, can't be audited, and falls over the moment a customer does something unexpected. I rebuild them as straightforward automations and they suddenly start making money.

In regulated SaaS, agents are doubly cursed. HIPAA and SOC 2 reviewers want to know exactly what your system does, in what order, every time. An automation passes that conversation in 20 minutes. An agent turns it into a six-month nightmare.

How to actually decide

If you're a founder about to spend money on an agent, answer these on paper first:

1. Can I draw the workflow as clear steps? If yes, you want an automation.
2. Does the workflow have more than five branches with truly unpredictable inputs? Then maybe an agent.
3. Is the cost of the worst-case wrong answer high? If yes, you want an automation, not an agent.
4. Will compliance ever look at this? If yes, automation. Full stop.

If you're a builder selling agents, you'll make more money in the next 12 months selling honest automations than chasing the agent narrative. The market is wising up. Founders who got burned in the first wave are warning the next wave. Be the person who ships a clean automation in six weeks that works on a Tuesday and is still working on Thursday.

Builders, founders, anyone in the trenches. What's actually working for you? What's breaking? Curious to hear from real operators.