One AI Department Done. 3 to Go.
Want to back the stream? The «داعم» membership on YouTube is EGP 60 a month: badges, emoji, and I answer your questions first on stream. Become a supporter
The gist
The stream centers on a work-in-progress automation system that organizes AI agents like connected departments for research, coordination, content production, publishing, and analytics. Luqman explains a possible progression from scheduled tasks and role-specific instructions toward shared goals and indicators, with research handed to agents that adapt posts, articles, and short videos for each platform. Practical work includes reviewing the post-stream pipeline, trimming silence and adjusting clips, and preparing operations across LinkedIn, X, Facebook, and Instagram while retaining human review initially. Speed, quality, resource use, queues, measurement, and agent autonomy still require testing and refinement; the stream does not establish a successful end-to-end system. It also discusses distribution and building in public, comparing direct outreach with SEO, social content, and advertising, alongside the speaker’s view that understanding an audience and solving a real problem matter more than selling a generic chatbot. Audience questions broaden the discussion to changing developer roles, learning and working with AI, game development, video-editing tools, background or local agent execution, community platforms, tools, and subscriptions. Other cautious, unresolved topics include AI jobs and pricing, proposed Egyptian data centers, model and hardware performance, YouTube Shorts growth, and ideas for competitions and products; these are generally presented as opinions, proposals, or open questions rather than verified findings.
171 moments from the stream
- 2:27:21
Review Note: Newsletter Text Appears Cut Off
During a quick review, the speaker notices that newsletter text appears cut off. The excerpt records the issue being spotted but does not establish that it was fixed.
- 2:33:34
Caution Around Unofficial AI Tool Subscriptions
Responding to a question about a cheap subscription offer, the speaker cautioned against buying through unofficial markets because such arrangements may be detected and stopped, and added that the cited offer might provide limited value for programming work.
- 2:40:08
Managing LinkedIn Channels with a Multi-Agent Workflow
An explanation of separating a LinkedIn presence into distinct channels, including a project page and newsletter, while delegating execution to one agent under another agent’s supervision and receiving a record of completed work. The approach may later extend to X and Instagram, with the newsletter treated as a channel requiring especially polished content.
- 2:42:50
An Idea for Improving the Chat Experience
The speaker liked an audience suggestion for handling chat differently and said he would consider it, with other chat features potentially following after an approaching YouTube goal; no figures were stated.
- 2:44:30
Using AI to Review a CV
Answering a question, the speaker said CV review does not necessarily require a specialized tool: a user can send the CV to an AI assistant and ask it to improve it. He added that he had heard of a tool referred to as “paper clip,” but had not used it.
- 2:48:20
Optimizing and Managing Social Accounts with an AI Agent
The speaker instructed an agent to apply the same profile-optimization approach used for LinkedIn to X, then described improving presence across several platforms without favoring only one. He explained that an agent can work through a user's logged-in session and that a connect-upload-post workflow can manage multiple accounts and platforms, though initial setup may require signing in.
- 2:52:15
Connecting AI Agents to Publishing Platforms
The speaker explains that multiple platforms connect to his agents and that a scheduler handles uploads and posts, offering substantial convenience while more involved alternatives remain possible.
- 2:53:06
A Cautious Discussion of AI Solving Mathematics Problems
The discussion speculates that the coming October may bring greater scientific recognition for AI and recounts an unverified claim that a stronger system solved an important mathematics problem. The speaker remains cautious because the system drew on known references, complicating what should count as a solution.
- 2:57:34
n8n Amid Rapidly Changing AI Tools
The speaker says n8n was ahead of its time but has become less necessary for his work as easier and better options emerged in his view. He adds that the speed of the AI wave makes it difficult to keep up and pivot in time.
- 2:58:54
An Agent Sets Up an X Profile and Selects a Local Photo
In a practical experiment, the speaker asks an agent to configure an X profile and find a suitable photo on the computer. The agent fills profile fields and appears to select an image, prompting surprise and questions about how it recognized him among many photos.
- 3:01:50
Selling Solutions to Real Problems Instead of Generic Chatbots
A participant raises a general business goal: find a real problem to solve rather than sell a generic chatbot that he considers low-value. The segment ends by asking whether this means building an AI wrapper, without resolving the question.
- 3:02:18
Selling AI Solutions to Business Problems
Advice to start with a real internal business problem, build an AI-based solution, and offer it as a package or B2B contract. The speaker argues that a problem perceived as large by a client may be technically easier to solve with AI, while acknowledging that automation may reduce some roles and affect workers.
- 3:06:55
Automating Publishing and Building Social Proof Before Ads
A practical use of an assistant to prepare publishing tasks for Facebook and Instagram and save time. The speaker explains that organic reach and SEO take time, so he wants to establish a credible presence and social proof before using ads for faster traffic.
- 3:10:24
Connecting AI Agents to Social Platforms
An answer on connecting agents to social media: APIs and other integration methods are possible, while the speaker suggests that an aggregation platform linking several channels in one place and connecting to agents through an API may be the fastest route. He notes that this convenience is optional and depends on the user’s needs and budget.
- 3:12:55
Choosing a Project Idea by the Size of the Problem
The speaker argues that project ideas can be assessed by the scale and impact of the problem: larger problems may offer larger potential rewards, while areas already crowded with solutions may be less compelling. Education is offered as an example of a major field already affected and likely to change further, while actually solving the problem remains the difficult part.
- 3:15:08
The Challenge of Interest-Free Home Financing
The speaker views enabling Muslims to buy homes without conventional interest-based mortgages as a major problem worth solving and notes that Islamic banks attempt to provide alternatives. No particular solution was presented or demonstrated.
- 3:15:56
Can AI Generate Traffic on Demand?
The speaker doubts that AI could simply be asked to generate a specified amount of “traffic” on demand, arguing that this would approach asking it to produce money directly. The brief discussion does not establish what kind of traffic was meant.
- 3:19:14
Why Facebook Settings Feel Difficult
The speaker describes Facebook’s settings as complicated and says assistance configuring the platform saved time and effort.
- 3:20:15
Treating AI as a Work Partner
The speaker recommends addressing AI like a work partner and giving it sufficient context about one’s background, goals, and ambitions before asking what to do next. The speaker also notes that prior experience in digital marketing and commerce informs his own use of this approach.
- 3:22:16
Defining Roles for a Multi-Channel Content Team
The discussion reviews how content work is divided among agents serving different channels and notes that broad labels such as “cards” and “video” need clearer definitions of outputs, channels, and responsibilities. The immediate aim is to identify missing responsibilities before refining each role.
Got a question about something in this stream?
Ask in the group