Noesis software technologies

#Django

[Noesis software technologies @_nsft_noesis]

#djangocon 💫💫💫

[Noesis software technologies @_nsft_noesis]

#corpusclip #clipping #clippers

[Noesis software technologies @_nsft_noesis]

@NBK_Alexx @N3onOnYT Need to learn from this kid, where I get the training

[Noah Frydberg | Tiktok Shop For Brands @maverickecom]

We replaced a $750K/year marketing team with 24 TikTok Shop AI Agents.

No actors.
No shoots.
No ghost creators.
No wasted samples.

Just 300+ shoppable TikTok videos per day going live on autopilot.

Here’s the exact workflow we use for 8-figure TikTok Shop brands 👇

Step 1 – Find what already works

Use Manus to:

- Find winning products
- Pull proven hooks & angles

Use Fastmoss + Kalodata scrape top-performing TikTok Shop videos in your niche

See which creatives actually drive GMV (not just views)

Output: A list of top hooks, angles, and formats to copy.

Step 2 – Build AI “creator” profiles

Spin up 24 AI creator accounts (we treat each as its own “agent”):

Each has a clear avatar (mom, gym bro, esthetician, student, etc.)

Each profile is positioned around one product line or problem

Output: 24 creator-style profiles ready to post shoppable content.

Step 3 – Turn winning angles into 300+ videos/day

For each Agent, we give 1 prompt that includes:
- The niche
- The brand
- The best hooks & angles from Step 1

Use AI tools to create the content:
Creatify / Arc Ads / MakeUGC → full AI UGC-style videos

Nano Banana Pro → product & lifestyle images
HeyGen is great for the advanced stuff

Output: 300+ TikTok Shop-ready videos per day
Cost per video: ~$5–$8 vs $50–$100 for human creators.

Step 4 – Autopost across a “creator swarm”

Use Reel Farm / Base44 / n8n to:
Schedule & autopost content across all 24 agents

Rotate formats (hooks, intros, CTAs) daily
Keep each account active without manual uploads

Output: Hundreds of shoppable videos posting 24/7 with no human bottleneck.

Step 5 – Double down on winners (MPS method)

Every week we:

Check which videos drove the most GMV / clicks / watch time
Clone those winners into 20–50 variations

Push them across more AI agents & more platforms (the Multi-Platform Swarm)

Everything links back to your TikTok Shop product page.

Result:
- ultra low CPMs
- 100–200 shoppable videos live per day
- GMV that compounds because posting never stops

An “always-on” creative system that doesn’t get tired or wait on creators

The $300/month stack that replaces a $50K+/month creative budget

- Manus → product research & viral hooks
- Kalodata → TikTok Shop data & creator scraping
- Fastmoss → competitor content & winner tracking
- Creatify or similar → AI UGC videos
- Nano Banana Pro → AI images
- Reel Farm / Base44 / n8n → autoposting & workflows

This is the AI Creator Agent Method we plug into 8-figure TikTok Shop brands.

I documented the full 24-Agent System (prompts, workflows, tools, dashboards).

Comment “Agent” and I’ll send you the whole thing.

(Must be connected)

PS: Repost if you want early access to the full 24-Agent TikTok Shop stack.

[Noesis software technologies @_nsft_noesis]

@ryancohen could we deploy our Livestream auction and buy now technology in all franchises to optimize staff off-peak hours and maximize online presence of GameStop and micromania internationay by the end of third quarter ? [email protected]

[Noesis software technologies @_nsft_noesis]

@fansofFROM I think it has yet to happened that might sure be end of season 4 as she is a chapter walker

[Noesis software technologies @_nsft_noesis]

@FROMonMGM What are we supposed to do with our lives for the next 18 months ?? Wait for an already long awaited season 😭

[Noesis software technologies @_nsft_noesis]

@FROMonMGM Hope you already about to deliver season 4 🍿🍿🍿

[Noesis software technologies @_nsft_noesis]

Listen to "Integrating Mojo with Django: Boosting Performance and Efficiency" by Noelabs. https://t.co/mZVE7lVUZ0

[Noesis software technologies @_nsft_noesis]

Listen to "Mistral AI: The French Startup Revolutionizing AI" by Noelabs. https://t.co/VpcUuVexdO

[Noesis software technologies @_nsft_noesis]

Listen to "LUCIE: Building Open-Source Large Language Models" by Noelabs. https://t.co/2vCsIbzRKq

[Noesis software technologies @_nsft_noesis]

Listen to "The Dangers of AI - Limits and Responsibilities" by Noelabs. https://t.co/pEMNe7zIWv

[Noesis software technologies @_nsft_noesis]

@stevewilldoit Needs développées ?!

[Noesis software technologies @_nsft_noesis]

Join Us in Vigo for #DjangoConEurope 2024! 🌟We're excited to announce that we'll be in beautiful #Vigo all week for #DjangoCon! This is a fantastic opportunity for all Django enthusiasts to connect, share ideas, and make this DjangoCon Europe unforgettable

[Noesis software technologies @_nsft_noesis]

@_MarcoMa_ @themacint0sh Are you sure ? I'm over there in France 🛑 still waiting 🧐🤔🤔

[Noesis software technologies @_nsft_noesis]

@themacint0sh Here

[Noesis software technologies @_nsft_noesis]

@_LAWFLAME @themacint0sh Wallet is so refined but so fragile ... My SS24 start has got me turnt up ... Was on Ws 💦💦💦

[Noesis software technologies @_nsft_noesis]

@themacint0sh Do you know how to get a place in the Paris line shop ?

[Noesis software technologies @_nsft_noesis]

@Xavier75 Mon père se plaint de passer a 50 euros par mois avec sa petite retraite, ya de l évolution dans les prix de votre côté ? Ou ya des forfait tout compris moins cher

[Andrej Karpathy @karpathy]

# On the "hallucination problem"

I always struggle a bit with I'm asked about the "hallucination problem" in LLMs. Because, in some sense, hallucination is all LLMs do. They are dream machines.

We direct their dreams with prompts. The prompts start the dream, and based on the LLM's hazy recollection of its training documents, most of the time the result goes someplace useful.

It's only when the dreams go into deemed factually incorrect territory that we label it a "hallucination". It looks like a bug, but it's just the LLM doing what it always does.

At the other end of the extreme consider a search engine. It takes the prompt and just returns one of the most similar "training documents" it has in its database, verbatim. You could say that this search engine has a "creativity problem" - it will never respond with something new. An LLM is 100% dreaming and has the hallucination problem. A search engine is 0% dreaming and has the creativity problem.

All that said, I realize that what people *actually* mean is they don't want an LLM Assistant (a product like ChatGPT etc.) to hallucinate. An LLM Assistant is a lot more complex system than just the LLM itself, even if one is at the heart of it. There are many ways to mitigate hallcuinations in these systems - using Retrieval Augmented Generation (RAG) to more strongly anchor the dreams in real data through in-context learning is maybe the most common one. Disagreements between multiple samples, reflection, verification chains. Decoding uncertainty from activations. Tool use. All an active and very interesting areas of research.

TLDR I know I'm being super pedantic but the LLM has no "hallucination problem". Hallucination is not a bug, it is LLM's greatest feature. The LLM Assistant has a hallucination problem, and we should fix it.

</rant> Okay I feel much better now :)