Ikram Rana - AI Automation

Ikram Rana - AI Automation

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I build practical AI automations that reduce manual work and errors. Father of 2. Builder by nature. Sharing what actually works, not hype.

Founder of Real Life AI | Barrana
A platform exploring how AI fits into real work and everyday life.

08/21/2026

Anthropic has an official skills marketplace. This free alternative has over 1,000 skills you can install in one step.

It is a free collection of reusable instruction packages that teach Claude to handle specific tasks: creating spreadsheets, automating workflows, connecting to apps, and more. There is even a plugin that connects Claude to over 500 apps including Gmail and GitHub in one command.

Developers and solo founders use this to make their AI agent actually do real work without building every skill from scratch. Install what you need. Skip everything else.

1,000 plus skills. One step to install. Free.

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08/21/2026

A personal AI brain in Obsidian works great when you are the only one using it. The moment you bring in a team, everything changes.

This enterprise AI brain is built in Claude Code and solves the problem Obsidian cannot: access control. A sales employee cannot see HR data. A junior cannot see executive strategy. The system knows who each employee is, what team they manage, what projects they are working on, their role in the organisation, and the context and strategy behind their work.

When any employee opens their chat, the AI already knows them. Sub-agents sit on the side and the AI routes to the right one automatically. The brain also knows what software each employee has access to.

Personal AI brain for one person: Obsidian is fine. Enterprise AI brain for a team: this is the architecture.

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08/19/2026

If you cannot explain the difference between Git merge and Git rebase, you are not a senior developer yet. These four resources will fix that.

1. An interactive website where you learn Git with real-time animations by typing commands step by step. Different levels. Something new at every stage.

2. A clean documentation site covering all essential Git concepts with code examples. Useful as both a learning resource and a cheat sheet you will come back to.

3. A gamified Git learning site that teaches through challenges. You actually retain it because you are playing, not reading.

4. A one-hour YouTube video that clears every Git concept with animations. Watch it once and the confusion is gone.

Four resources. Every Git concept. From beginner to senior-level understanding.

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08/19/2026

One API key. Over 150,000 machine learning models. ChatGPT, Gemini, and everything in between all in one place.

This platform brings together language, vision, and audio models under a single API key so you never have to manage multiple integrations again. The free plan alone gives you access to over 140,000 models with unlimited tokens meaning no context window restrictions on what you can send.

It is open source so you can contribute on GitHub, and the free tier is genuinely useful for real projects, not just demos.

One key. Every model. Unlimited context. Free.

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08/19/2026

Manus AI lets you build multi-agent systems but the pricing is steep. This free open-source alternative runs on your personal computer and does the same thing.

The full framework is on GitHub at zero cost. A central assistant agent receives your task and spins up specialized sub-agents for each step web browsing, coding, video processing, whatever the task needs. No single agent trying to do everything. The right agent for each job.

Think of it as the Kubernetes of the agent world. Orchestration, specialization, and full local control all free and open source.

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08/19/2026

OpenAI has no free trial. But there is a way to get up to 250,000 daily tokens on their latest models for free.

It is called the OpenAI data sharing program. Go to your OpenAI dashboard, then Data Controls, find the Sharing tab, and opt in. You get up to 250,000 daily tokens on the latest models or up to 2.5 million tokens on other models.

The trade-off is that your data will be used for improvements and training. OpenAI can use it in any way they choose. Only use this for learning, experiments, or projects where the data is not sensitive. Do not opt in for any client work or proprietary projects.

For learning and building personal projects this is a meaningful amount of free access to powerful models.

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08/19/2026

Running Claude Code and Codex at the same time with terminals scattered everywhere? Herdr fixes that.

Herdr is an open-source agent multiplexer think tmux but built specifically for AI coding agents. Monitor and control all your agents in one place, separated by spaces and organized into tabs. See instantly which agent is working, idle, blocked, or complete.

The best part is persistence. Close Herdr and it keeps running as a server in the background. Open your terminal back up and everything is exactly where you left it. No lost work. No restarting sessions.

Fast, lightweight, and works on both Windows and Mac. If you run multiple agents and hate managing a dozen terminals, this is the tool you needed.

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08/18/2026

Running Claude Code and Codex at the same time with terminals scattered everywhere? Herdr fixes that.

Herdr is an open-source agent multiplexer think tmux but built specifically for AI coding agents. Monitor and control all your agents in one place, separated by spaces and organized into tabs. See instantly which agent is working, idle, blocked, or complete.

The best part is persistence. Close Herdr and it keeps running as a server in the background. Open your terminal back up and everything is exactly where you left it. No lost work. No restarting sessions.

Fast, lightweight, and works on both Windows and Mac. If you run multiple agents and hate managing a dozen terminals, this is the tool you needed.

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