I’ve started noticing that you learn much more when you actually build something than when you spend hours watching tutorials.

Tutorials are great for getting started, but I think people massively overestimate how much they actually learn from watching them.

When you build something yourself, you hit bugs, make wrong assumptions, and have to figure out why your code isn't working. That's where the real learning happens. It's slower, more frustrating, and often feels like you're making less progress but that struggle is exactly what makes the knowledge stick.

I've forgotten countless tutorial videos. I rarely forget the problems I had to solve myself.

I'm not saying tutorials are useless. They're excellent for introducing concepts. I just don't think they should be the main way people learn if the goal is long-term understanding.

","tags",[41,168,169],"upvote_count",13,"comment_count",2,"channel_slug","build-along","created_at","2026-09-17T16:30:50.617Z","updated_at","2026-09-23T10:30:25.046Z","image_url","video_url","discussion_type","general","problem_status","problem_summary","expected_behavior","actual_behavior","what_i_tried","accepted_comment_id","reposted_from_id","repost_comment","language","en","variant_group_id","ab3af5d4-6785-48e1-8259-ab8025b0186e","audience","public","prompt_text","poll_options","display_name","Neha Gupta","username","nehagupta01","avatar_url","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/782af747f646abac8aafef2453c7eb0f966f2cc14f5c67486c01941a584c39db.jpg?sv=2026-06-06&st=2026-09-27T10%3A27%3A59Z&se=2027-09-27T10%3A27%3A59Z&sr=b&sp=r&sig=ZrDvxE8JdDhGj%2BkpCkLkk3A3g93MxWvhOy1aqo65MuY%3D","author_role","reactions",[162],"poll","category_id","3ed69fd2-d05b-4f70-a049-02f004398fb2","category_slug","build","category_label","Build","available_languages",[115],"repost_count","repost_original_video_url","author_flair",{"_146":147,"_148":149,"_150":151,"_152":153,"_154":155},"author",{"_122":123,"_126":127},"level",4,"level_title","Contributor","level_progress",0.14,"league","gold","top_badge",{"_156":157,"_17":158,"_159":153,"_160":161},"key","crowd-favorite","Crowd Favorite","tier","category","contribution",{"_163":164,"_165":93,"_166":16,"_167":-5},"emoji","❤️","count","reacted","reactionId","projects","tutorials","5df6dfb1-9eb9-44cc-bd5a-bf2e4f3d55b5","3f28c7bf-4396-478b-9ed7-23e42afdc960","Don’t Just Summarize. Research With NotebookLM.","

The biggest mistake after learning these techniques is trying to use all of them at once.

I’d turn NotebookLM into a repeatable research workflow instead.

First, create an index of your sources and break the research into individual topics.

Then take one topic at a time and go deep.

Ask NotebookLM to pull information from all relevant sources, connect related ideas, identify important evidence, and point out gaps or contradictions.

Once you have that, don’t stop at the research.

Turn the information into something useful - checklist, framework, content outline, presentation, research brief, or action plan.

That’s where NotebookLM becomes much more powerful.

You’re no longer just asking AI to summarize information.

You’re using it to structure → investigate → connect → apply knowledge.

And one thing I’ve realised while experimenting with AI research: your sources still matter more than having the “perfect” prompt.

Good sources + a structured workflow can take you much further than a clever prompt alone.

What’s one NotebookLM workflow you use regularly?

",[196,197,198,199,41,200],10,"prompt-library","2026-09-20T11:42:25.797Z","2026-09-29T11:36:55.139Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/5dc76c9180e7a3961c64f14f61d6a0398f01b017c9eb797f33ea7a04a0463c66.png?sv=2026-06-06&st=2026-09-20T11%3A41%3A32Z&se=2027-09-20T11%3A41%3A32Z&sr=b&sp=r&sig=oA26bw9xixK0eH%2F0D5hoN4pj5TRkTdGGRzQpdyDBusk%3D","fa85af98-977d-4434-af0f-c24f34183539","Zaid Rajput","zaid_rajput_303882",[195],[115],{"_146":95,"_148":187,"_150":188,"_152":189,"_154":190},{"_122":181,"_126":-5},"Member",0.25,"bronze",{"_156":191,"_17":192,"_159":193,"_160":194},"early-bird","Early Bird","silver","onboarding",{"_163":164,"_165":175,"_166":16,"_167":-5},"research","note-taking","productivity","notebooklm","ai-tools","12ebe604-f603-4b00-aa48-dc551fa74144","8fe568e8-aa09-4059-a06e-96a23cc5951c","I Don't Care How Many Features an AI Tool Has","I Don't Care How Many Features an AI Tool Has

I care whether it actually makes my work easier.

When I test a new AI tool, I usually start with a task I already do manually.

For example:

Turn a messy research document into structured notes.

Then I compare the process.

Without AI:
How long does it take?

With AI:
How long does it take?

Then I look at something people often forget:

How much editing is needed afterward?

If a tool gives me an answer in 30 seconds but I spend another 20 minutes correcting and restructuring it, the time saved isn't as impressive as the demo made it look.

That's why I think the better question isn't

How many features does this tool have?

It's: Does this tool improve something I actually do?

A tool doesn't have to replace an entire workflow to be useful. Sometimes saving 15 minutes from one repetitive task is enough to make it worth keeping.

Test the tool against your real workflow, not its feature page.

",[],12,"tool-reviews","2026-09-21T11:52:34.386Z","2026-10-01T12:51:06.861Z","6f9b1d88-27aa-4d1f-929a-37364b2f5558","Kavya Nair","kavyanair_","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/46efb629371b801b4d8a4f55768737b0cead3c092b098fed0e000809e1c9fb4f.jpg?sv=2026-06-06&st=2026-09-27T10%3A11%3A27Z&se=2027-09-27T10%3A11%3A27Z&sr=b&sp=r&sig=00iCCJ%2FA%2Fsj%2BMk0mboHmAsYDLVkoGm1O2XtetKwlXck%3D",[225],"3162319a-43f8-4969-bd4a-bff360b4886b","discuss","Discuss",[115],{"_146":221,"_148":222,"_150":223,"_152":193,"_154":224},{"_122":211,"_126":213},3,"Regular",0.04,{"_156":191,"_17":192,"_159":193,"_160":194},{"_163":164,"_165":206,"_166":16,"_167":-5},"e513399a-47db-4b93-a1d3-bda0d4f83d16","79b57f17-d8b6-47b1-864f-764787486079","AI Can Give You the Answer. Can You Tell If It’s Wrong?","

I've been seeing an interesting shift in how people talk about AI skills.

A new IBM Institute for Business Value study found that 71% of CHROs surveyed consider the ability to supervise, validate, and override AI outputs an essential workforce skill, while only 29% of employees ranked judgment as important. The study surveyed 1,500 CHROs and 8,800 employees globally.

That gap is interesting because it changes the way I think about learning AI.

A lot of people are currently focused on learning which tool to use, how to write better prompts, or how to automate a task. Those skills are useful, but there's another layer that becomes increasingly important when AI is doing more of the actual work: knowing whether the output is correct in the first place.

If AI writes something for you, can you spot the mistake? If it analyzes data, can you tell when the conclusion doesn't make sense? If it gives you a recommendation, can you question the assumptions behind it?

For me, that's becoming an important part of working with AI. The goal isn't just to get better outputs from the tools. It's to become better at judging the outputs you receive.

AI can make the first draft faster. Human judgment is still what decides whether that draft is actually worth using.

Source: IBM Institute for Business Value — New IBM CHRO Study

",[],16,"ai-news-weekly","2026-09-21T13:30:57.940Z","2026-09-29T11:37:25.656Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/b394952fda76fdc174a90ea39ffd87c94e11133515f91908949dcce82589758d.png?sv=2026-06-06&st=2026-09-21T12%3A10%3A31Z&se=2027-09-21T12%3A10%3A31Z&sr=b&sp=r&sig=Kvc4iDLmOLq0BR%2FSwabIHw1A3uV43dzs2IDmLq8YSuY%3D","f13d25bb-422b-42c0-ada9-5ea41bf4db42","Ishita Patel","ishitapatel","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/49624af76a79d550aaa9865f001097ed82709a6732c4766e28e7c5d57b694b28.jpg?sv=2026-06-06&st=2026-09-27T10%3A36%3A10Z&se=2027-09-27T10%3A36%3A10Z&sr=b&sp=r&sig=3ynIlX%2Blb722jlK5oXxX4owJXBZfrJOvPoLxAxQO4Dk%3D",[246],[115],{"_146":221,"_148":222,"_150":244,"_152":193,"_154":245},{"_122":237,"_126":239},0.05,{"_156":191,"_17":192,"_159":193,"_160":194},{"_163":164,"_165":231,"_166":16,"_167":-5},"d55dae03-1fb6-40bf-ab14-d7037c3e87bd","Want to Learn n8n? Start With These Resources","

The Resources That Helped Me Learn n8n

I’ve been learning n8n recently, and one thing I realized pretty quickly is that watching random short tutorials can make automation look easier than it actually is.

What helped me more was finding a few resources that I could actually follow and practice alongside.

The biggest one for me was Nate Herk’s “Build & Sell n8n AI Agents” course. It’s a long-form course, but that’s exactly why I found it useful. It goes through the fundamentals of n8n and gradually gets into APIs, HTTP requests, AI agents, memory, RAG, webhooks, and building practical automation workflows.

1. Build & Sell n8n AI Agents — Nate Herk
https://youtu.be/Ey18PDiaAYI?si=nhMOBXBcbYF9nwUR

When I get stuck on a specific node or feature, I use the official n8n documentation instead of trying to guess how something works.

2. n8n Documentation
https://docs.n8n.io/

Another resource I found really useful is the n8n Workflow Templates library. Instead of starting every automation from a blank canvas, I can look at existing workflows and understand how different nodes, APIs, and tools are being connected.

3. n8n Workflow Templates
https://n8n.io/workflows/

The biggest lesson for me has been that learning n8n isn't about memorizing hundreds of nodes.

It’s about understanding the logic behind a workflow:

Once that started making sense, automation became much easier to understand.

I’m still learning and building, but these are the resources I keep coming back to while learning n8n.

If you're starting with n8n too, save these resources. They can give you a much better starting point than jumping between random tutorials.

",[262,263],15,"automation-n8n","2026-09-21T14:30:02.577Z","2026-10-05T14:06:17.768Z","7f319089-f83d-4382-ba4f-a3a082e63e36",[261],[115],{"_146":147,"_148":149,"_150":151,"_152":153,"_154":260},{"_122":123,"_126":127},{"_156":157,"_17":158,"_159":153,"_160":161},{"_163":164,"_165":251,"_166":16,"_167":-5},"n8n","automation","dc508a53-63a2-4e35-bbd4-94636c5b4abb","cace0fd7-1ec6-4aff-af20-7a51ab515134","Practical AI Tools for Everyday Work, with Abhinav Johari","

Thank you to everyone who joined us on Friday, 18 September. Here is a recap of the session, the full recording, and the two prompt templates Abhinav shared.

SESSION DETAILS

Speaker: Abhinav Johari, Founder of Elevates, Author and Keynote Speaker

Host: Jyotsana Chandoliya, OneShopAI

Date: Friday, 18 September 2026, 7:00 PM IST, on Zoom

Watch the recording: https://www.youtube.com/live/d_RVwJwmaN0

KEY TAKEAWAYS

1. The Role of Human Judgement in AI-Assisted Work

Effective AI work combines human judgement with machine capability. You set the direction; AI handles the speed and volume.

2. A Three-Step Research Framework

Context Setting: Define what the research is for, such as an annual report or market signals.
Analysis: Identify problem areas, priorities and likely roadblocks.
Content Polishing: Refine the output so it is presentation-ready.

3. Live Demo: Know Your Client (KYC) Research

Using ChatGPT and Gemini, Abhinav researched Zomato's strategy, leadership priorities and competitors in minutes.

4. A Ready-to-Use Prompt Library

Structured templates you fill in once and reuse, instead of writing prompts from scratch.

5. From Research to Reports and Account Plans

Turning research into management reports and sales account plans, including building prompts through voice dictation.

6. Free Skill Gap Assessment

An AI-driven assessment from Elevates that helps students, professionals and business owners identify skill gaps and a learning path.

RESOURCES

Resource 1: The Know Your Client (KYC) Primer

https://drive.google.com/file/d/13VD9tNJubaTfy6SKYEDONLFMfCZsk707/view

Share an annual report, 10-K or earnings call transcript to get a briefing on a company's priorities, risks and competitors, plus pain points and conversation starters.

Resource 2: The Enterprise Account Plan & Executive Deck

https://drive.google.com/file/d/16fn8xNWIjYwLvK0IVgyGhCzKimqmqa69/view

Turns your research into an 8–10 slide account review built on Why, How, What, covering client drivers, competitors, deal economics, risks and leadership asks.

How to use them together: Fill in the [Insert…] fields, run the KYC Primer first, then paste its output into the \"Account Insights\" field of the Account Plan prompt. Both work in ChatGPT, Gemini or Claude.

NEXT STEPS

The true value of these tools lies in applying them to real work. Start with the KYC Primer, then use its output to build your account plan. You will see how much faster you can move from information to action.

A special thank you to Abhinav Johari for a practical, hands-on session.

Should you have any questions, please share them in the comments. The OneShopAI team will be glad to assist.

Thank you for being part of AI Connect India 2026. We look forward to welcoming you to our next session.

",[287,288,289,290,291],"ai-connect-india-2026","2026-09-22T08:52:19.146Z","2026-10-08T12:14:08.069Z","a1eb3827-b00c-4f16-9df1-54a96b8257ff","Rohit Yadav","rohit_yadav_fcf7cc","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/60d1df00ddb06f10fd172c601718b7e9b7e1fd6eec95fa68ede16fec71bda229.jpg?sv=2026-06-06&st=2026-08-13T12%3A07%3A11Z&se=2027-08-13T12%3A07%3A11Z&sr=b&sp=r&sig=KiUTpEnzMTI8lUvUvDiokl6rlFcMil1GCFyPvbuKnas%3D",[286],[115],{"_146":280,"_148":281,"_150":282,"_152":153,"_154":283},{"_122":273,"_126":275},5,"Builder",0.41,{"_156":284,"_17":285,"_159":153,"_160":161},"prolific-poster","Prolific Poster",{"_163":164,"_165":93,"_166":16,"_167":-5},"aiconnectindia2026","aitools","artificialintelligence","aiforwork","promptengineering","306b98a2-bcce-4f5f-b5a4-e01a8cb8a7d3","6fe14168-0d80-4e09-8425-5397677b0d53","12 Google AI Tools I’ve Been Exploring","

I recently came across a list of 12 Google AI tools, and I found it interesting how each tool focuses on a different use case, from research and productivity to image generation, video creation, development, and marketing.

Here’s my quick review of the tools:

1. Google AI Studio

A useful platform for experimenting with AI models and testing how different prompts influence the output. It can be helpful for refining prompts before building an AI application or chatbot.

https://aistudio.google.com/

2. NotebookLM

One of the tools that stood out to me for research and learning. It can work with documents, PDFs, and transcripts and turn them into summaries, quizzes, and mind maps.

https://notebooklm.google/

3. Gemini Gems

Useful for creating personalized AI assistants with specific instructions, context, and uploaded files. This could be helpful when you repeatedly use AI for the same type of task.

4. Google Veo 3

A video-generation tool that can create cinematic video clips from creative text prompts and animate static images with realistic motion.

https://deepmind.google/models/veo/

5. Firebase Studio

Designed to help users build and publish AI-powered websites and mobile applications with backend support.

https://firebase.google.com/

6. Gemini Live

Useful for interactive conversations and getting suggestions in real time. It can also be used as an AI co-presenter during live sessions.

7. Nano Banana

An interesting option for creators who want to edit, refine, and create different versions of AI-generated images.

8. Google Imagen

An image-generation tool that can create visuals from simple prompts. It looks particularly useful for designers, content marketers, and video creators.

https://deepmind.google/models/imagen/

9. Google Pomelli

This one caught my attention from a marketing perspective. It is designed to help businesses generate scalable, on-brand social media campaigns.

https://labs.google/pomelli/

10. Google Whisk

Allows you to use images as prompts to visualize ideas and experiment with different creative concepts.

https://labs.google/whisk/

11. Google Opal

A useful concept for people who want to build AI workflows or mini-apps using natural language instead of starting with traditional coding.

https://opal.google/

12. Google Lumiere

A text-to-video diffusion model designed to generate videos with realistic, diverse, and coherent motion. The research project also demonstrates applications such as image-to-video, video stylization, cinemagraphs, and video inpainting.

https://lumiere-video.github.io/

What I found most interesting is that these tools cover different parts of an AI workflow rather than trying to solve the same problem.

For my own work, I’m particularly interested in exploring Google AI Studio, NotebookLM, Pomelli, Whisk, and Opal more deeply.

Have you used any of these Google AI tools? Which one has been the most useful in your workflow?

",[311,200,312,313,289],"2026-09-29T10:14:49.514Z","2026-10-12T05:35:28.704Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/3a3d70bc177ab21789a72b24c80b26901de32f08b3fef87c52cd4e721dee6714.jpg?sv=2026-06-06&st=2026-09-29T10%3A11%3A53Z&se=2027-09-29T10%3A11%3A53Z&sr=b&sp=r&sig=6GD7%2FCn74vspn28lG39Bryb6j7v0ZGcBk49%2FoTAXcYc%3D","2ba928f7-ee31-472a-a79c-1de8a7c25ae0","Ayaan","ayaan001","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/cc0d1501b1d4379b4d6cca738262323cdac6a690992f98076f22dfff06085ff9.jpg?sv=2026-06-06&st=2026-09-29T09%3A52%3A59Z&se=2027-09-29T09%3A52%3A59Z&sr=b&sp=r&sig=ztl19%2BH2E8MPA4Jc%2BHv7CSpOVgzvvUm5nRd%2FIywXaK4%3D",[310],[115],{"_146":221,"_148":222,"_150":308,"_152":153,"_154":309},{"_122":301,"_126":303},0.92,{"_156":191,"_17":192,"_159":193,"_160":194},{"_163":164,"_165":231,"_166":16,"_167":-5},"google-ai","ai-for-creators","ai-marketing","4025a937-5583-4180-9706-45f1fb8e0bbe","844b349f-8515-4a74-86a4-09f6ee66d6e7","Flam’s $40M Funding: A New Era for AI-Powered Content","

I came across this funding news about Flam, and I found the direction of the company quite interesting.

Flam has raised $40 million in a Series B round led by QED Investors as it continues expanding its interactive content platform globally.

Founded in 2021 by Shourya Agarwal, Malhar Patil, and Amit Gaiki, Flam is building interactive videos, 3D experiences, and AI-powered Visual Agents for use cases such as marketing, product visualization, training, entertainment, customer engagement, and sales.

According to the company, Flam now works with 100+ enterprise customers, including Google, Reliance, and Hyundai, with more than 50% of its business coming from outside India.

The new funding will reportedly be used for AI research, product expansion, and international enterprise sales.

One thing that caught my attention is that Flam is targeting $100 million in ARR over the next 18–24 months.

What I find interesting here is the shift from traditional content toward interactive AI-powered experiences.

Could interactive content become the next major evolution of digital media?

I’d be interested to hear what others think about this.

",[334,335],18,"2026-09-29T10:30:00.727Z","2026-10-12T05:35:26.847Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/442c44d08848d00ca19b1222eacff351c2d11d697f54c03bd1c5ff5d68da2cb8.jpg?sv=2026-06-06&st=2026-09-29T10%3A26%3A43Z&se=2027-09-29T10%3A26%3A43Z&sr=b&sp=r&sig=B3dijuBjaweeSQowbIixOL%2B0DTt2cPEKE0%2Fx25FIzo8%3D","c7a5c5a5-4a19-4491-89ad-296f307db47f","Vihaan khanna","vihaankhanna","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/abfdca9733e9e75f3a96a6aa33eb990977c879e1f51f98314125be81f9f49989.jpg?sv=2026-06-06&st=2026-09-29T09%3A32%3A51Z&se=2027-09-29T09%3A32%3A51Z&sr=b&sp=r&sig=rb0%2Fh972YwqTk5qmL0JT9TN9b2erMULRfOCZZreThdU%3D",[333],[115],{"_146":95,"_148":187,"_150":331,"_152":189,"_154":332},{"_122":324,"_126":326},0.9,{"_156":191,"_17":192,"_159":193,"_160":194},{"_163":164,"_165":319,"_166":16,"_167":-5},"ai-news","trending","89510a1c-e209-4d69-a15c-49294f13d6d5","975417d0-dca6-41a2-851a-a2f9c9cd4c3c","Fireworks AI Introduces FireRouter with Opus: A New Approach to AI Model Routing","

Fireworks AI has recently introduced FireRouter with Opus, bringing a new approach to AI model routing.

FireRouter is designed to route requests across different AI models based on the task, helping developers balance model capabilities and efficiency.

What caught my attention is that FireRouter with Opus is available as a standalone router model, along with availability through the Fireworks CLI.

Instead of relying on a single AI model for every request, a router can help determine which model should handle a particular task.

You can explore it here:
\nFireRouter with Opus — Fireworks AI

Would you prefer using one AI model for everything or letting a router choose the model for each task?

",[356,289],"2026-09-29T12:30:07.457Z","2026-10-12T05:35:21.848Z","ab106a8d-89ae-4d12-9b7e-67cfeed41b39","Naina","naina23","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/a5372c646f7c2603c3a197767b41e06d4c111eb679eee9afb78916d218c8b9bf.jpg?sv=2026-06-06&st=2026-10-01T05%3A08%3A56Z&se=2027-10-01T05%3A08%3A56Z&sr=b&sp=r&sig=i4RnGfw4dqmEUwDOARFjSJnLricUbycEFAsLjcSNgHc%3D",[353,354],[115],{"_146":221,"_148":222,"_150":351,"_152":193,"_154":352},{"_122":344,"_126":346},0.73,{"_156":191,"_17":192,"_159":193,"_160":194},{"_163":164,"_165":251,"_166":16,"_167":-5},{"_163":355,"_165":47,"_166":16,"_167":-5},"👏","fireworksai","741fefb6-0e0d-404f-82f1-95af843d3367","294881cd-2b5f-47ab-baf6-8879251b4f13","What I’ve Learned About Gen AI Building Blocks","

I’ve been spending more time understanding what actually happens behind the AI tools I use, and one thing I’ve realized is that using AI effectively is not just about writing better prompts.

Here are a few things that stood out to me:

1. Understanding How LLMs Work

Earlier, I mostly thought of an LLM as a tool where I give a prompt and get an answer. Learning about tokens, context windows, function calling, and structured outputs changed that perspective.

For example, understanding context windows helped me realize why an AI model may lose track of information in longer conversations. Structured outputs and function calling also showed me how LLMs can interact with applications instead of simply generating text.

2. Understanding the Modern AI Stack

The AI ecosystem is much bigger than just ChatGPT or another single model.

There are model providers, AI tools, platforms, agent skills, and even vibe-coding workflows. I’ve found that different tools make sense for different tasks, and choosing the right combination can sometimes matter more than simply choosing the most powerful model.

3. The Practical Side of AI

One thing that is easy to ignore when experimenting with AI is the practical side.

AI applications have to deal with latency, API costs, reliability, and performance. A model might give excellent results, but if every request is expensive or takes too long, it becomes difficult to use at scale.

My biggest takeaway so far is that building with AI is not just about getting an impressive output. It’s about understanding the technology well enough to make the right trade-offs.

Still learning and experimenting with these concepts, but they’ve definitely changed how I look at Gen AI tools.

",[378,379,380,381],"roadmaps","2026-09-30T13:20:02.707Z","2026-10-12T05:35:18.166Z","bba179eb-66d7-4b7a-856a-c4b461ec742f","Mohit Yadav","mohit_yadav009","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/5ab73b4ea1c390df89cfe8b75e2b695afadffe6ab977434b1805e6f564ab7f48.jpg?sv=2026-06-06&st=2026-09-30T13%3A10%3A43Z&se=2027-09-30T13%3A10%3A43Z&sr=b&sp=r&sig=L5basMj6HlLTz76Co5NAThssP8S7P5a%2Fa%2BInrzmPa4c%3D",[377],[115],{"_146":221,"_148":222,"_150":373,"_152":193,"_154":374},{"_122":366,"_126":368},0.97,{"_156":375,"_17":376,"_159":193,"_160":161},"conversationalist","Conversationalist",{"_163":164,"_165":93,"_166":16,"_167":-5},"genai","generativeai","llm","aiengineering","629d9d59-8957-4769-847b-68ba416ccc32","f58cf2ac-7bfe-417e-b4cc-642ffdc20934","The Process I Followed to Get My First Internship in Digital Marketing","

When I started exploring digital marketing, I had one simple goal get my first internship and gain real-world experience. But I quickly realized that simply applying to internships wasn't enough. I needed to develop skills and, more importantly, show that I could actually use them.

I started by learning the fundamentals of digital marketing, including SEO, content marketing, social media marketing, email marketing, lead generation, analytics, and AI tools. Instead of just consuming courses and videos, I focused on understanding how these skills are used in real businesses.

Then I started practicing. I researched keywords, wrote content, created social media posts, worked on backlink strategies, explored AI tools, analysed marketing campaigns, and worked on community growth. Every small task helped me turn theoretical knowledge into practical skills.

The next step was building proof of work. I realized that certificates can show that you completed a course, but projects can show what you can actually do. So I started creating practical projects SEO audits, content plans, social media strategies, keyword research, and other marketing exercises. These projects gave me something concrete to show when applying.

After that, I started looking for opportunities across startups, agencies, small businesses, communities, and internship platforms. I also stopped thinking only about sending resumes. Whenever possible, I tried to show my skills, projects, and willingness to learn.

Finally, I understood that getting an internship is not the end of the journey. It's the beginning of real learning. Once you enter a real work environment, every task, mistake, feedback, and project helps you improve.

You don't need to know everything before applying for your first internship. Start with one skill, practice it, build something, document your work, and keep putting yourself in front of opportunities.

I followed this process, and it helped me get my first internship in digital marketing.

If you're also trying to get your first opportunity, start today. Learn something, build something, and show people what you can do.

If you have any questions about the process or don't know where to start, drop your question in the comments.

",[402,403,404,405,406,407],"2026-10-01T12:48:19.432Z","2026-10-12T05:35:16.270Z","588719b5-95f1-4980-8f0b-072736ac8765","Aditya Kapoor","adityakapoorin","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/7cfb98a2c4a7cf0341171371dcedbb4ac3a5c300f2af3c5c4722c54088694593.jpg?sv=2026-06-06&st=2026-09-27T10%3A25%3A50Z&se=2027-09-27T10%3A25%3A50Z&sr=b&sp=r&sig=caNolT6Zk%2BUvPyuzzJGWmSVJRw7j%2BooX4MNRoW%2FOHqo%3D",[401],[115],{"_146":221,"_148":222,"_150":397,"_152":193,"_154":398},{"_122":390,"_126":392},0.37,{"_156":399,"_17":400,"_159":193,"_160":161},"talent-scout","Talent Scout",{"_163":164,"_165":175,"_166":16,"_167":-5},"digitalmarketing","aiinmarketing","digitalskills","careertips","students","skilldevelopment","6290c85f-9a23-42a6-9b37-ac83434b4442","c76565f7-11ad-42fd-8492-55e059b7b189","What If You Could Give ChatGPT a Job?","

I recently discovered ChatGPT Dots, and the idea is interesting instead of using AI only for individual prompts, Dots can handle ongoing tasks and workflows with more autonomy. You can give an AI agent a goal, provide the tools or information it needs, and let it work on the task while you review the results.

For marketers, this could be useful for things like research, content workflows, reporting, and repetitive tasks.

The bigger shift is simple: we're moving from asking AI questions to giving AI responsibilities.

Want to explore it?

🔗 Explore ChatGPT Dots

",[289,427,428,379,288,429],"2026-10-01T13:15:50.759Z","2026-10-08T12:14:08.537Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/9cc0388d7d1f4be5422ac76f141662c941f8157f0466c21375b63a3cd76ec74e.jpg?sv=2026-06-06&st=2026-10-01T13%3A10%3A44Z&se=2027-10-01T13%3A10%3A44Z&sr=b&sp=r&sig=5bwf3klw7J5bAm%2BhHZPgtV4u%2F9YX3B0pQ7nrH0kM5Wk%3D","f60f3419-d78a-44c4-8ef5-5330862df428","Priya Singh","priyasinghin","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/4efa639dff2bb77e6292a04a06316211d27de605d7b747468bea18a6e5c0daaf.jpg?sv=2026-06-06&st=2026-10-01T13%3A21%3A20Z&se=2027-10-01T13%3A21%3A20Z&sr=b&sp=r&sig=fXFEHc2uP6ytvdjvMyu90adHZKMMcO%2F2pvYTH1uBiDg%3D",[426],[115],{"_146":147,"_148":149,"_150":424,"_152":153,"_154":425},{"_122":417,"_126":419},0.19,{"_156":375,"_17":376,"_159":193,"_160":161},{"_163":164,"_165":93,"_166":16,"_167":-5},"chatgpt","chatgptdots","aiproductivity","d7499e26-f039-4ea8-8370-e0fbe4a61f64","Using Gemini for Free? Read This Before October 9","

Just came across this and felt I had to share it, because so many people use Gemini every day without paying for it.

From October 9, Google is changing which models you can use in the Gemini app

If you're on the free version, you'll only get 3.5 Flash-Lite. Flash and Pro won't be available anymore.

I read about it on 9to5Google, which spotted the change in an updated Google support page. It comes after the compute-based usage limits Google introduced in May.

Here's the simple breakdown:

No plan: Flash-Lite only
AI Plus ($4.99/mo): Flash-Lite + Flash, no more Pro
AI Pro ($19.99/mo): Flash-Lite, Flash, Pro + Deep Think
AI Ultra: no change

In short, the free tier will still handle everyday tasks. But for deeper reasoning or complex work, you'll now need a paid plan.

If you're on AI Plus, Google says you'll get an email explaining when the change applies to you.

There's some good news too. Deep Think, Google's most intensive reasoning mode, was only on the $99.99 and $199.99 plans. Now AI Pro users at $19.99 get it as well.

Google also looks set to add low, medium and high effort levels for each model this month. Higher effort should give more thorough answers, but it uses up your limit faster.

Honestly, my first reaction was: free AI is getting thinner. It's not disappearing, but the best models are moving behind a paywall, and that makes sense given how much compute they need.

If you rely on free Gemini, here's what I'd do:

Before Oct 9, try your usual tasks on Flash-Lite. Emails, notes, summaries, quick research. See what still works and what doesn't. It won't take more than half an hour.
Write down the tasks that really need a stronger model. That list will tell you whether paying is worth it for you.
Keep an eye on the new effort settings. Choosing how hard the model \"thinks\" will soon matter almost as much as choosing the model.

My personal take: putting Deep Think in the $19.99 plan is a smart move by Google to pull serious users toward Pro.

One thing to keep in mind: the prices above are US prices as reported. Plans and pricing can be different in India and other countries, so check what applies to you.

Sharing this so nobody gets caught off guard mid-task once Oct 9 comes around. If it helps someone in your network, feel free to pass it on.

Are you using free Gemini or a paid plan right now?

",[444,445,289,379,288],"2026-10-04T09:52:56.403Z","2026-10-12T05:35:12.168Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/fa6f277a56c426221a864d8d0dcbe58d68c4694cab04f75c78617eab27d49614.jpg?sv=2026-06-06&st=2026-10-04T09%3A52%3A06Z&se=2027-10-04T09%3A52%3A06Z&sr=b&sp=r&sig=N%2Fk2FnZzrq7MVYzUI19BCLIqPCMdlUHl4k45IOBtg%2Fw%3D","7e515110-80b7-4a68-9d51-d6328c9270eb",[443],[115],{"_146":147,"_148":149,"_150":151,"_152":153,"_154":442},{"_122":123,"_126":127},{"_156":157,"_17":158,"_159":153,"_160":161},{"_163":164,"_165":206,"_166":16,"_167":-5},"gemini","googleai","1854bc98-10d6-4a68-96e7-c7ffabcd0ce8","Session 03 Recording: Learn Generative AI & AI Agents with Khushi Yadav","

Thank you to everyone who joined us live on Saturday, 3 October. The full recording of Session 03 of AI Connect India is now on YouTube.

If you've been hearing \"AI agents\" everywhere, here's the simple version. Generative AI creates new content like text, images and code. AI agents go a step further: you give them a goal, and they work through the steps to get it done.

SESSION DETAILS

Topic: Generative AI & AI Agents

Speaker: Khushi Yadav, AI Engineer at TruGen AI

Host: Yash Sonkar, Founder of OneShopAI

Date: Saturday, 3 October 2026, 11:00 AM IST, on Zoom

Watch the recording on YouTube: https://youtu.be/-Uyx6rhWU9Q

Missed it live? Watch the full session. Attended? Go back to the parts you want to understand better.

Share one thing you learned from the session in the comments below.

",[459,379,460],"2026-10-05T07:15:53.002Z","2026-10-08T12:14:08.552Z","3e56b9e0-3ad1-433b-96f9-5487afae1f76",[458],[115],{"_146":280,"_148":281,"_150":282,"_152":153,"_154":457},{"_122":273,"_126":275},{"_156":284,"_17":285,"_159":153,"_160":161},{"_163":164,"_165":175,"_166":16,"_167":-5},"aiconnectindia","aiagents","f1b461be-347d-4a0e-8798-a0a5659f3612","Stop asking AI for \"marketing ideas\": 10 prompts that work better","

Most of us have typed \"give me marketing ideas\" into ChatGPT and got back a list that could fit any business. The problem usually isn't the tool. The AI just doesn't know your product, your audience, or what you need the ideas for.

So I put together 10 prompts that give it that context. Each one sets a role, leaves [brackets] for your details, gives a clear task and says what format you want back.

What's inside:

Audience research and customer pain points
Content ideas, post copy and repurposing
Competitor research and campaign planning
Editing feedback, customer personas and a 90-day plan

Every prompt comes with an example, what to expect and one tip. They're plain text, so you can paste them straight into the free versions of ChatGPT, Claude or Gemini.

Download the PDF here: https://drive.google.com/file/d/18RR2UozLyUvEML33QYTGe2EOPjgB6bdh/view?usp=sharing

Try one on something you're working on this week. Which one are you starting with?

",[475,476,402,477,478],6,"2026-10-05T12:59:46.245Z","2026-10-08T12:14:08.540Z","31b08a4b-7c93-48ef-911f-9e95c9be5de5",[474],[115],{"_146":221,"_148":222,"_150":244,"_152":193,"_154":473},{"_122":237,"_126":239},{"_156":191,"_17":192,"_159":193,"_160":194},{"_163":164,"_165":465,"_166":16,"_167":-5},"aiprompts","marketingprompts","freeresources","promptlibrary","106148a7-ac17-4610-9eec-014a967cc3a1","daa75aa3-d5b4-4c01-84be-3b1215360cbd","Who wants to do a 14-day coding streak together? (free, 15 min a day)","

Who wants to do a 14-day coding streak together? (free, 15 min a day)

We do one Coddy lesson a day for 14 days, starting Monday 12 Oct, and check in here every evening.

Coddy launched on Product Hunt this week. Short lessons, 20+ languages (Python, JS, C++, SQL, Rust, Go), a real code editor in the browser, streaks and weekly leagues. Its AI tutor gives hints, not answers, which is exactly what you want when you're learning.

How it works:

1. Pick a language on coddy.tech (free with a daily limit).

2. Do 1 lesson a day.

3. Drop a ✅ + your streak count in this thread every evening

My take: 15 minutes a day for 14 days beats a 6-hour weekend binge. The free plan has a daily limit, so it nudges you to come back.

The first 20 people. Comment IN + the language you're picking.

","study-groups","2026-10-07T13:04:33.846Z","2026-10-12T05:34:56.325Z","18aa6770-6864-476f-81e2-282a6ea2da53","Yash Sonker","yashsonker_717df2","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/bc2290f48abb4df31c76c53df7c6c2789b9bd87737ff2652b225e475c6c14edf.jpg?sv=2026-06-06&st=2026-09-25T17%3A12%3A03Z&se=2027-09-25T17%3A12%3A03Z&sr=b&sp=r&sig=CdbhAWGjadaVz2MTvMClfHadzmMpythsF73X%2FvdSA9k%3D",[499],"9a52249d-a0c1-416b-85da-e801da3b3112","opportunities","Opportunities",[115],{"_146":280,"_148":281,"_150":497,"_152":153,"_154":498},{"_122":487,"_126":489},0.15,{"_156":191,"_17":192,"_159":193,"_160":194},{"_163":164,"_165":47,"_166":16,"_167":-5},"b0e9b6c1-2653-46dc-9611-b1abfb365185","Suno Speech: AI voiceovers with background music (5 fun prompts)","

Type any text, describe a voice and a music style, and Suno turns it into a narrated track. It's open to everyone now.

It's called Speech (beta). Suno's own team says accents can wander and \"dramatic pauses may be very dramatic\", which is honestly the fun part.

Try this one first:

\"Read this message from my friend like a movie trailer narrator, with epic orchestral music: [paste a boring WhatsApp text].\"

A few more that should work well: an exam pep talk with soft piano, cricket commentary for your daily update, your own poem with sitar in the background.

My take: perfect for birthday wishes and roasting friends. For anything serious, it's still a beta, so check the output before you share it.

suno.com

Post your prompt + what you got. The funniest one gets pinned.

","2026-10-07T13:16:20.947Z","2026-10-12T05:34:52.105Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/011aaac985915ab639443603af122f8a2c0de9f328644551919d14b59dfdf858.jpg?sv=2026-10-06&st=2026-10-07T13%3A16%3A17Z&se=2027-10-07T13%3A16%3A17Z&sr=b&sp=r&sig=%2FvAF%2B6F%2FrDd0bDIpFEBm8NZ8t%2FeT16wOyc%2Fz0wjBCk0%3D","14e9d5cd-fb68-4ebb-b882-806b4faa2e90",[512],[115],{"_146":147,"_148":149,"_150":151,"_152":153,"_154":511},{"_122":123,"_126":127},{"_156":157,"_17":158,"_159":153,"_160":161},{"_163":164,"_165":95,"_166":16,"_167":-5},"0424b08b-5d79-4260-93a2-f60faaea942c","ChatGPT just built me a calculator","

Okay, this one surprised me.

I typed make me a savings calculator for a ₹25,000 salary into ChatGPT, expecting the usual wall of text. Instead it built an actual little calculator right in the chat. Drag the slider and the numbers change.

Try it and drop a screenshot below. Curious if everyone has it yet, I think it’s still rolling out.

","2026-10-10T15:47:10.839Z","2026-10-12T05:34:33.681Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/70235c24ecc9f97be3e24b8f67f5aad699148626bc30d31f20b766cfe9fffd3e.jpg?sv=2026-10-06&st=2026-10-10T15%3A47%3A07Z&se=2027-10-10T15%3A47%3A07Z&sr=b&sp=r&sig=UAVyFfGz8T6zPpfBuef1%2FM7lnu9GDiHWki1rK6JpFYk%3D","14b4bfd5-d144-4bbe-a8bd-81f8385918b9",[525],[115],{"_146":221,"_148":222,"_150":308,"_152":153,"_154":524},{"_122":301,"_126":303},{"_156":191,"_17":192,"_159":193,"_160":194},{"_163":164,"_165":47,"_166":16,"_167":-5},"0806b947-7d45-40e5-81a3-a0b30e6a3d29","d8d5fbef-49f1-458e-8428-6ff990ca57ec","India is now Cursor’s 3rd biggest market","

3 million+ Indian developers use Cursor now. That number tripled in one year.

It got big enough that Cursor made an India-only plan. ₹649 a month, pay with UPI. Pro costs $20, around ₹1,950.

And their first India office opens before this year ends.

","2026-10-10T16:03:01.424Z","2026-10-12T12:21:09.743Z","15b6903c-da72-47bb-9abf-5427a13aa4cf","Meera Iyer","meeraiyer12","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/dc028ca9be515153eade719c5cd8767a3e552c59b7d5eb2567d7ab961a7bc0e8.jpg?sv=2026-06-06&st=2026-09-27T10%3A41%3A47Z&se=2027-09-27T10%3A41%3A47Z&sr=b&sp=r&sig=6bPjTByMcrrKrwo45D2%2F8jb2RvTWdVwTSKMewU%2F5T5U%3D",[541],[115],{"_146":147,"_148":149,"_150":151,"_152":153,"_154":540},{"_122":533,"_126":535},{"_156":375,"_17":376,"_159":193,"_160":161},{"_163":164,"_165":95,"_166":16,"_167":-5},"ba9cfab8-c386-4e46-be64-fa548a681b85","5569ecde-a674-4048-8490-5a3e9ca8e373","Anyone seen this AI certificate site?","

So I came across a site today that says it can get you AI certificates without you doing anything. You connect ChatGPT and it does the courses and the tests for you.

My first thought was, okay, this sounds too easy.

Looked into it a bit. There's no info on who runs it, and the page has Google, Microsoft and OpenAI logos on it while also saying it has nothing to do with them. That already made me a little suspicious.

But honestly, the bigger problem for me is something else. Even if the certificate shows up on your LinkedIn, what happens when someone in an interview asks you about it? You'd have nothing to say.

I'd rather do a free course properly and actually know the stuff. Google, Microsoft, IBM and a few others have free AI courses anyway.

I'm making a list of the good ones and will share it here soon. If you've done a free AI course that was actually worth it, drop it below and I'll add it.

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