Rishi Jain

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Rishi Jain

Rishi Jain

@rrishijain

🔥Building a global digital marketing institute & agency @DigitalScholar_ @echovme 👨‍🏫Recognized as India’s Best AI Corporate Trainer 🔥$30M ad Spends

Chennai, India Katılım Ekim 2010
1K Takip Edilen1.2K Takipçiler
Rishi Jain
Rishi Jain@rrishijain·
Hey @ZARA Regarding the Order: 54589955520 Had bought a jacket but it came without a collar and i returned immediately like probably in 10 mins. Now your support team says the product is received in used condition? What nonsense?
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Rishi Jain
Rishi Jain@rrishijain·
higgsfield ai is now the cheapest AI platform 📷
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Rishi Jain
Rishi Jain@rrishijain·
Follow @rrishijain 🎥 for exclusive daily AI ads and generative creative marketing hacks.
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Rishi Jain
Rishi Jain@rrishijain·
Next-gen AI content factories for ad creatives are here. 5 videos + insights you need to see: 1/ 24 TikTok Shop AI Agents automate content creation and posting with low ad spend. twitter.com/maverickecom/s…
Noah Frydberg | Tiktok Shop For Brands@maverickecom

We replaced a $400K/year marketing team with 24 TikTok Shop AI Agents. We built a fully automated system that repurposes, localizes, and launches winning TikTok Shop content across hundreds of creator-style accounts. It’s so effective it feels like running Facebook ads in 2008. - CPMs as low as $0.10 - no reliance on paid ads - no ghost creators - no wasted samples - no lost time My $300/monthly tech stack which replaced $50k+ budget: - manus for product research and viral script ideas - nano banana pro for images - creatify for video - now testing reel farm for static images + automated posting (or use VAs) Here’s how it works: •Each AI Agent spins up a TikTok Shop–ready profile, built to sell my products through shoppable videos. •Agents are prompted to research the niche, scrape winning TikTok Shop videos, and rebuild them with new hooks, angles, and UGC-style visuals tailored to your brand. •They create and post daily using my tech stack onto affiliate accounts No touchpoints. No delays. Just shoppable videos going live and GMV compounding every week. Then we use an MPS (Multi-Platform Swarm) approach: once the concept works on TikTok Shop, we deploy hundreds of AI Agents to flood the niche with variations that all drive back to your Shop. I’m giving you access to the full stack — all 24 AI Agents, ready to plug into your TikTok Shop workflow today. Comment “Agent” and I’ll send you everything. (must be following) PS – Repost for early access to the full 24-Agent TikTok Shop system.

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Rishi Jain
Rishi Jain@rrishijain·
Follow @rrishijain 🎥 for the sharpest daily AI marketing videos & agentic workflow insights.
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Rishi Jain
Rishi Jain@rrishijain·
Agentic AI workflows are revolutionizing marketing with automation & iteration. 5 videos + insights you need to see: 1/ Andrew Ng highlights iterative agentic workflows — far better than zero-shot LLM prompts. twitter.com/AndrewYNg/stat…
Andrew Ng@AndrewYNg

I think AI agentic workflows will drive massive AI progress this year — perhaps even more than the next generation of foundation models. This is an important trend, and I urge everyone who works in AI to pay attention to it. Today, we mostly use LLMs in zero-shot mode, prompting a model to generate final output token by token without revising its work. This is akin to asking someone to compose an essay from start to finish, typing straight through with no backspacing allowed, and expecting a high-quality result. Despite the difficulty, LLMs do amazingly well at this task! With an agentic workflow, however, we can ask the LLM to iterate over a document many times. For example, it might take a sequence of steps such as: - Plan an outline. - Decide what, if any, web searches are needed to gather more information. - Write a first draft. - Read over the first draft to spot unjustified arguments or extraneous information. - Revise the draft taking into account any weaknesses spotted. - And so on. This iterative process is critical for most human writers to write good text. With AI, such an iterative workflow yields much better results than writing in a single pass. Devin’s splashy demo recently received a lot of social media buzz. My team has been closely following the evolution of AI that writes code. We analyzed results from a number of research teams, focusing on an algorithm’s ability to do well on the widely used HumanEval coding benchmark. You can see our findings in the diagram below. GPT-3.5 (zero shot) was 48.1% correct. GPT-4 (zero shot) does better at 67.0%. However, the improvement from GPT-3.5 to GPT-4 is dwarfed by incorporating an iterative agent workflow. Indeed, wrapped in an agent loop, GPT-3.5 achieves up to 95.1%. Open source agent tools and the academic literature on agents are proliferating, making this an exciting time but also a confusing one. To help put this work into perspective, I’d like to share a framework for categorizing design patterns for building agents. My team AI Fund is successfully using these patterns in many applications, and I hope you find them useful. - Reflection: The LLM examines its own work to come up with ways to improve it. - Tool use: The LLM is given tools such as web search, code execution, or any other function to help it gather information, take action, or process data. - Planning: The LLM comes up with, and executes, a multistep plan to achieve a goal (for example, writing an outline for an essay, then doing online research, then writing a draft, and so on). - Multi-agent collaboration: More than one AI agent work together, splitting up tasks and discussing and debating ideas, to come up with better solutions than a single agent would. I’ll elaborate on these design patterns and offer suggested readings for each next week. [Original text: deeplearning.ai/the-batch/issu…]

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Rishi Jain
Rishi Jain@rrishijain·
Follow @rrishijain 🎥 for daily AI ads, visuals, VFX videos + smart insights.
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Rishi Jain
Rishi Jain@rrishijain·
5/ GPT 5 & nano banana — Speed up ad creation for clients with next-gen AI visuals. twitter.com/lorenzo_pravat…
Lorenzo | Meta Ads & Performance Creatives 📈@lorenzo_pravata

GPT 5 has changed our statics FOREVER. We're creating a ton of ads faster than ever for our 8-figure clients. I've just created a FULL guide on how you can do the same: - Basics - Prompts - Formats to Test - Winning Examples - How to Edit & Create Them Like + Comment: "AI" and I'll send it over.

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Rishi Jain
Rishi Jain@rrishijain·
AI Ads just got a major upgrade with generative creatives. 5 videos + insights you need to see: 1/ Nano Banana + N8N = AI Creatives Factory — Create scroll-stopping visuals at scale, no designers needed. twitter.com/samruddhi_moka…
Samruddhi Mokal@samruddhi_mokal

Nano Banana + N8N = AI Creatives Factory This AI system creates scroll-stopping visuals at scale using Google's newest image model. No designers. No agencies. No $50K creative budgets. Just endless professional-grade ads that look like top brands made them. Here's how it works: → Upload your product catalog to Airtable → N8N automation scrapes product details and images → Nano Banana creates multiple creative angles for each product → System generates different backgrounds, styles, and compositions automatically → All variations get organized in Airtable with performance tracking ready Each visual pennies to generate. You own 100% of the assets forever. Runs 24/7 without touching it. While competitors spend hours in Photoshop or pay agencies thousands per month, you'll be cranking out unlimited variations automatically. Perfect brand consistency across every creative. Built 100% in N8N. Want the complete workflow? Comment "NANO" + RT + Like I'll DM you the entire N8N template + Airtable setup (Must be following so I can DM) Skip this and keep paying designers $200 per ad variation.

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