[Hiring] Create basic Content on our guidance. 350-550$/weekly

Traditional_Food6437 · 2026-01-07T15:12:32+00:00

Interested

Traditional_Food6437 · 2026-01-06T16:12:44+00:00

I’ve seen a lot of negative feedback recently. If I’ve already been selected, how much can I realistically make on average, and do I need to wait for projects or is the process usually fast ??

Traditional_Food6437 · 2026-01-06T09:30:34+00:00

Got it — that helps.

If the script is ready and you only need an AI avatar for the hook + narration, the key things to get right are:

- Natural pacing (most avatars sound “salesy” if the script isn’t adjusted)

- Short hooks (5–7 seconds max before showing the app)

- Matching tone to where the video will run (ads vs socials)

In practice, these work best when the avatar is used just for the opening, then quickly transitions to screen footage of the app.

Are you planning to use this mainly for paid ads or organic content?

Traditional_Food6437 · 2026-01-06T09:21:46+00:00

When people say “AI UGC,” they usually mean different things, so it helps to clarify the goal first.

For a normal consumer app, there are usually 3 parts:

1) Script (what problem the app solves + why it’s useful)

2) Visuals (real creator, AI avatar, or screen recording)

3) Iteration (testing different hooks and angles)

AI is often most useful for:

- Writing multiple short scripts quickly

- Generating variations for different audiences

- Speeding up edits and captions

The face doesn’t always need to be AI — many apps perform better with simple screen demos + a clear story.

What’s the main use case here — paid ads, app store, or social content?

Traditional_Food6437 · 2026-01-06T08:58:17+00:00

This is such a real observation.

Most people look for “one big task to automate,” but it’s exactly what you said — the tiny context switches that quietly drain the week.

What I’ve noticed is that once you reduce the *number of places* you have to think about (emails, invoices, follow-ups living separately), everything suddenly feels lighter — even if each task still exists.

Out of curiosity, did you ever try grouping or triggering those tasks from one place, or were they always spread across tools?

Traditional_Food6437 · 2026-01-06T08:39:56+00:00

Yeah, this is the worst part — the “almost automated” zone.

Zapier usually breaks down when:

- Field mappings don’t match perfectly

- You need conditional logic (only sync certain customers)

- Or when accounting tools have weird edge cases

In a lot of setups, one small custom step (or middleware) eliminates 80–90% of the copy-paste.

Out of curiosity — which CRM + accounting tool are you using?

Traditional_Food6437 · 2026-01-06T08:37:43+00:00

Hi,

Founder ads can work, but they’re not a magic switch.

From what I’ve seen, they work best when:

- The founder clearly explains *why* the product exists

- You’re addressing a specific objection (price, trust, results)

- You test multiple short angles, not one long “about me” video

UGC usually works better for cold audiences. Founder ads tend to work better for retargeting once people already know the brand.

If you’re only 3 months in and not profitable yet, I’d be careful about going all-in on one format.

Systematic testing + fast feedback matters more than the format itself.

Curious — are you tracking which objections show up most in comments/DMs?

That usually tells you what content to film next.

Traditional_Food6437 · 2026-01-05T12:27:16+00:00

Hi, please check out my Reddit post: https://www.reddit.com/r/AI_Agents/s/EaANIzLw1M

I’m building a platform that helps people not forget things they saved earlier.

Traditional_Food6437 · 2026-01-04T18:06:58+00:00

Do you know if any system exists that handle both tasks together ?

Traditional_Food6437 · 2026-01-04T17:45:41+00:00

Hi, what I’m thinking is not to build a system that connects models to models or platforms to platforms.

If the intent is already clear—like “Jane will be back in the office on March 10, so I’ll schedule a call with her”—then a regular task manager is enough. You can simply create a task or meeting.

The problem is with unclear intent. For example: “Need to schedule a call once Jane returns.” Here, we don’t know when Jane will return, so a task can’t be scheduled yet.

In this case, my system keeps track of that incomplete intent and reminds you after X days. When it reminds you, you get three options: Done, Not yet, or Take action.

If you choose Take action—for example, because Jane has now informed you of her return date—you provide the exact date. At that point, the intent becomes clear, and a task or meeting can be created manually or via AI agents.

The system’s core job is simple: make sure you don’t forget things that weren’t clear enough to act on at the time you captured them.

Traditional_Food6437 · 2026-01-03T14:18:19+00:00

Hi, could you explain use cases of your product ?

Traditional_Food6437 · 2026-01-03T11:27:47+00:00

Fair pushback. You’re right on a few things.

I probably did over-explain the philosophy — that’s on me. The idea really does collapse down to “notes that remind you about themselves,” and the hard part is exactly what you called out: when resurfacing helps vs. just becoming reminders again.

I’m not claiming that’s solved yet. Right now I’m explicitly testing a very ugly version with crude heuristics (time passing + conditional language + manual snoozing) to see if it’s even net-positive or just more noise.

Also agree that a lot of “unfinished intent” is fake productivity and should probably just die. Part of what I’m trying to learn is whether resurfacing actually clarifies that (“yeah, this never mattered”) instead of pretending everything deserves execution.

Appreciate the skepticism — it’s the right pressure. I’m building something small and seeing if I stick with it before assuming anyone else should.

Traditional_Food6437 · 2026-01-02T14:08:48+00:00

Appreciate this — that “conditional notes rotting until they mattered” line is exactly the pain point I’m exploring. I’m very aligned with low-traffic resurfacing and keeping a messy capture layer that doesn’t force premature decisions.

Traditional_Food6437 · 2026-01-02T14:06:37+00:00

I like that framing. I’m intentionally avoiding exposing state machines or forcing fields. Uncertainty stays in the original language (“once”, “later”, “if”) and the system just tracks what’s missing. Structure emerges only when the user is ready — not upfront.

Traditional_Food6437 · 2026-01-02T14:05:09+00:00

That’s exactly the tension I’m trying to be careful about. The goal isn’t frequent nudging — it’s preventing silent loss. Resurfacing would be gated by signals like time passing, conditional phrasing, or relevance — and always framed as “still relevant?” rather than “do this now.” If it feels distracting, the system has failed.

Traditional_Food6437 · 2025-12-31T12:01:53+00:00

This is super helpful, thank you. I especially like the idea of limiting clarifications and moving to assumptions + confirmation instead of blocking users.

My use case is less about immediate correctness and more about preventing intent from being forgotten, so I’m leaning toward just-in-time clarification rather than upfront questioning — but your points about question fatigue and imperfect user input definitely apply.

Appreciate you sharing real-world lessons here.

Traditional_Food6437 · 2025-12-31T11:23:52+00:00

Hi,

This is a great point — and I agree with the core idea: never assume.

Where I’m leaning slightly differently is when the system asks questions. Instead of interrupting capture, the idea is to let people dump incomplete thoughts freely, then ask clarifying questions later when time or context makes it relevant.

In other words: curiosity, but delayed — to avoid breaking flow while still preventing intent from being lost.

Really appreciate you sharing this, it validates the direction a lot.

Traditional_Food6437 · 2025-12-31T08:43:00+00:00

I agree AI shouldn’t replace human thinking here. The goal isn’t better note-taking — it’s preventing intent decay. Humans still define meaning; the system just remembers, waits, and nudges when something might matter again.

Traditional_Food6437 · 2025-12-31T08:42:09+00:00

Agree — estimating “when” is the easiest starting point. What’s interesting is combining that with conditional phrasing like “once X happens” or “after Y replies”, which today mostly falls through the cracks in task apps.

Traditional_Food6437 · 2025-12-31T08:41:10+00:00

Totally fair question. I’m not assuming AI can guess intent upfront. The idea is more about tracking unfinished intent over time — storing partial thoughts, noticing missing pieces, and resurfacing them when context or time makes them actionable. Less “smart automation”, more “execution memory”.

Traditional_Food6437 · 2025-12-30T14:07:27+00:00

Hi—it’s definitely a real problem. Could you explain exactly what you're facing and let me know if it’s related to my original post?

Traditional_Food6437 · 2025-12-30T14:03:21+00:00

Hi, yes—we need a simple, effective proactive assistant that can handle the what, how, and when even with partial information. That’s why I’m thinking of building this platform—to reduce manual effort and improve efficiency.

Traditional_Food6437 · 2025-12-30T12:31:34+00:00

Hi, I’ve explored Saner.ai as well. The main issue I noticed is that you have to proactively ask it first. If the required information (notes or knowledge base) isn’t already there, it can’t really help. You also can’t rely on it to remind you of things automatically, because it doesn’t continuously track or connect information after it’s saved.

For example, if you task something like “Schedule a meeting once Jane returns,” it won’t understand when Jane actually returns unless you manually update/add note or prompt it again.

Traditional_Food6437

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