# How to build OpenAI Agents that act inside your real apps with schedules, guardrails and Kubernetes

Build OpenAI Agents that run in Slack, Gmail, Docs and Calendar: natural-language planning, LLM-as-judge guardrails, Inngest queue and KEDA autoscaling.

Source: https://lanlan123.top/how-to-build-openai/ · based on the channel [Mir Mueed](https://www.youtube.com/channel/UC1q70z6lnLvWjP0EkQ9EahA) · Video: [AMIGO AI – Build AI Agents That Work in Your Real Apps (Next.js, OpenAI Agents SDK, Kubernetes)](https://www.youtube.com/watch?v=O_N1sEZNtMQ) · 2026-10-27

![How to build OpenAI Agents that act inside your real apps with schedules, guardrails and Kubernetes](https://lanlan123.top/how-to-build-openai/how-to-build-openai.webp)

## Key takeaways

- AMIGO AI generates an agent from one plain-English request: Gemini plans the goal, steps, target apps and schedule.
- Runs are scheduled, on-demand or chat-triggered, with a live run history and 4 agents executed in parallel in the demo.
- Guardrails use an LLM-as-judge: input screening for prompt injection, PII and phishing, output review for leaked secrets and unsupported claims.
- Stack: Next.js, TypeScript, OpenAI Agents SDK, Google Gemini, Composio, Inngest, PostgreSQL on Neon, Drizzle ORM, Docker and Kubernetes.
- KEDA scales the worker from 1 to 5 pods by queue depth; a CronJob handles cleanup and logs are structured JSON.

OpenAI Agents become genuinely useful when they stop living in a chat window and start executing work inside the tools you already use. AMIGO AI, an open-source platform by developer Mir Mueed, does exactly that: you describe a task in plain English, and it generates an agent that posts to Slack, writes Google Docs, books Google Calendar events, sends Gmail and touches Notion, GitHub or WhatsApp Business — on a schedule, on demand or from a chat message. The full code and architecture notes are on GitHub in the [AMIGO AI repository](https://github.com/mueed26/AMIGO-AI), so you can clone it and run the same setup yourself.

## What OpenAI Agents need to work inside real apps

An agent that only reasons is a demo; an agent that acts is a product, and acting requires four separate layers. First, a planner that turns a natural-language request into a concrete goal, a list of steps, the apps involved and a schedule — AMIGO AI delegates this to Google Gemini. Second, an executor built on the OpenAI Agents SDK that calls real integrations through Composio, which supplies authenticated connectors for Slack, Gmail, Google Docs, Google Calendar, Notion, GitHub and WhatsApp Business. Third, a durable job layer so runs survive restarts and retries: Inngest handles the background queue with retries. Fourth, a safety layer that inspects both what goes into the model and what comes out of it. Skipping any one of these layers is why most agent prototypes never reach production.

## How AMIGO AI turns one sentence into a scheduled agent

The generation flow is a single request followed by a structured plan. When you type something like “every Monday, summarize last week's GitHub activity and post it to Slack,” the planner returns a machine-readable spec: the goal, ordered steps, the required apps and a cron-like schedule. That spec is stored in PostgreSQL (hosted on Neon and accessed through Drizzle ORM) and rendered as an agent you can edit before activation. From there the agent supports three trigger modes:

1. Scheduled runs, fired by the queue on the cadence defined in the spec.
2. On-demand runs, started manually from the dashboard.
3. Chat-based runs, where you message the agent and it performs a live action immediately.

Every execution writes to a run history, so you can see which step failed and what each tool call returned. In the demo, four agents run in parallel and produce real artifacts: a Slack post, a Google Doc and a Google Calendar event. Agents can also perform live web research and return cited sources rather than unsourced summaries.

## Guardrails with an LLM-as-judge on input and output

Safety in AMIGO AI is implemented as two separate model checks around every run. The input screen inspects the user request and any retrieved content for prompt injection attempts, sensitive PII and phishing patterns before the agent is allowed to plan. The output review inspects the agent's draft result for leaked secrets and unsupported claims, and a redaction step strips credentials automatically. This matters because agents with write access to Slack, Gmail and GitHub can do real damage: a single leaked API key in a Slack message or an invented statistic in a Google Doc is a production incident, not a glitch. Treating the judge as a gate — not a suggestion — is the difference between an agent you can leave scheduled overnight and one you have to babysit.

## Deploying the stack on Kubernetes with KEDA autoscaling

AMIGO AI ships as two separate services — a Next.js web app and a worker — each in its own Docker image, deployed to Kubernetes. The worker is the part that scales, because it is the part that consumes the Inngest queue. KEDA watches queue depth and scales the worker between 1 and 5 pods, so an idle night costs one pod and a burst of scheduled agents adds capacity without manual intervention. Around that core the manifests include liveness and readiness probes, rolling updates for zero-downtime deploys, a cleanup CronJob for stale records, and structured JSON logging so container logs are queryable. The web tier stays stateless and can be scaled independently of the workers.

## Choosing between the OpenAI Agents SDK and a planner model

A common question is why the project uses both the OpenAI Agents SDK and Google Gemini. They solve different problems. The Agents SDK provides the execution loop, tool-calling conventions, handoffs and tracing for the agent that actually does the work. Gemini is used as the planning model that converts free-form English into a structured spec — goal, steps, apps, schedule — which is a bounded extraction task rather than an open-ended reasoning one. Keeping planning and execution separate makes each cheaper to test: you can unit-test the planner against fixed prompts and swap either model without rewriting the other half. The same logic applies to integrations: Composio handles OAuth and connector maintenance so the agent code stays focused on decisions.

## Links from the video

- [AMIGO AI code and architecture on GitHub](https://github.com/mueed26/AMIGO-AI)
- [Mir Mueed on LinkedIn](https://www.linkedin.com/in/mirmueed)

## What to take away from this OpenAI Agents build

AMIGO AI is a working reference for the unglamorous half of agent engineering: planning specs, durable queues, guardrails and autoscaled workers. The pattern worth copying is the separation of concerns — Gemini plans, the OpenAI Agents SDK executes, Composio connects, Inngest retries, KEDA scales, and an LLM-as-judge polices both ends of the pipeline. Start by cloning the [AMIGO AI repository](https://github.com/mueed26/AMIGO-AI), run the web and worker services locally with Docker, and add one integration before you add ten. The video breakdown by Mir Mueed on the channel Mir Mueed walks through the scheduled agent, the four parallel runs and the chat-triggered action end to end.

## Questions & answers

**Do I need the OpenAI Agents SDK to build agents that act in real apps?**

No, but it saves substantial work. The SDK supplies the execution loop, tool-calling conventions, handoffs and tracing, which are the parts most teams rewrite badly. AMIGO AI pairs it with Google Gemini for planning and Composio for authenticated integrations, so each layer stays replaceable.

**How does AMIGO AI prevent an agent from leaking secrets or posting false claims?**

It runs an LLM-as-judge on both sides of a run. The input screen blocks prompt injection, sensitive PII and phishing before planning; the output review flags leaked secrets and unsupported claims, and automatic redaction strips credentials from results before they reach Slack, Gmail or a Google Doc.

**Why does the worker scale from 1 to 5 pods instead of running a fixed pool?**

Scheduled agents create bursty load, so a fixed pool is either idle or overloaded. KEDA reads Inngest queue depth and adjusts the worker replica count between 1 and 5, keeping cost low at night while absorbing parallel runs during the day.

**Can agents run on a schedule and also be triggered from chat?**

Yes. A generated agent supports all three trigger modes: scheduled runs on its defined cadence, manual on-demand runs from the dashboard, and chat-based runs where a message triggers a live action. Every execution is recorded in the run history with its step results.


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# 7 Essential Tips to Choose the Best VPN for UK Fast and Reliable Use

Discover the 7 key factors to find the best VPN for UK with fast speeds, reliable UK servers, and daily usability.

Source: https://lanlan123.top/7-essential-tips/ · based on the channel [Power Memes](https://www.youtube.com/channel/UCW68XlJkQsJMXK2HJphKQ4A) · Video: [BEST VPN FOR UK 🇬🇧 Fast & reliable, 40+ servers](https://www.youtube.com/watch?v=sCXDFJXlmJU) · 2026-10-14

![7 Essential Tips to Choose the Best VPN for UK Fast and Reliable Use](https://lanlan123.top/7-essential-tips/7-essential-tips.webp)

## Key takeaways

- Choose VPNs with 40+ UK servers for speed and reliability
- Look for unlimited traffic and stable connections
- AegisVPN offers fast UK server switching and easy installation
- VPNs must support daily use without speed throttling
- Check for strong encryption and privacy policies

Finding the best VPN for UK requires focusing on speed, reliability, and server availability to ensure seamless daily use. A top VPN should offer numerous UK servers, unlimited traffic, and stable connections without slowing down your internet. For example, AegisVPN provides over 40 UK servers with fast switching and easy installation, making it a standout choice. You can explore more about AegisVPN and get special access here: [AegisVPN official site and bonus](https://bit.ly/aegisvpn-meme).

## Why Speed and Server Availability Matter for the Best VPN for UK
Speed is a critical factor when selecting the best VPN for UK because slow connections can ruin streaming, gaming, and browsing experiences. VPNs with multiple UK-based servers reduce overcrowding, ensuring faster connections and lower latency. A VPN with at least 40 UK servers, such as AegisVPN, typically offers enough capacity to avoid traffic bottlenecks. Also, having servers physically located in the UK means better access to UK-specific content without geo-restrictions.

## How to Ensure a VPN is Reliable for Daily UK Use
Reliability means your VPN maintains strong connections without frequent drops or speed throttling. Many popular VPNs impose traffic limits or slow down after certain data usage, which disrupts daily activities. The best UK VPNs provide unlimited bandwidth and stable connections. Features to look for include automatic reconnection, kill switch protection, and responsive customer support. Daily users benefit from VPNs like AegisVPN that prioritize consistent performance.

## Easy Installation and User-Friendly Server Switching
A VPN’s ease of installation and server management is vital for everyday users. The best UK VPN should have intuitive setup processes compatible with PC and other devices. Switching between UK servers should be quick and hassle-free to adapt to network conditions or unblock different content. AegisVPN stands out by offering simple installation and convenient server switching, making it suitable for both beginners and advanced users.

## Security Features Specific to UK VPN Needs
While speed and reliability are essential, security cannot be overlooked. The best VPNs for UK employ strong encryption protocols like OpenVPN, WireGuard, or IKEv2 to protect data from surveillance and cyber threats. Additionally, a strict no-logs policy ensures your online activities remain private. Given the UK’s data retention laws, choosing a VPN with transparent privacy policies and jurisdiction outside the UK can enhance privacy.

## Compatibility and Device Support for UK VPNs
For comprehensive protection, the best UK VPN should support multiple platforms including Windows, macOS, Android, and iOS. This flexibility allows users to secure all their devices with a single subscription. Some VPNs also offer browser extensions and router compatibility, expanding protection to more devices and smart home setups.

## Common Issues with VPNs in the UK and How to Avoid Them
Many UK VPN users face issues like slow speeds, limited server options, or blocked content. These problems often arise from overloaded servers or VPNs failing to bypass geo-blocks effectively. To avoid these, select VPNs with large UK server networks, proven unblocking capabilities, and regular updates. Customer reviews and technical support responsiveness are also good indicators of quality.

## Useful Links
- Official AegisVPN site with bonus and registration: https://bit.ly/aegisvpn-meme

## Conclusion
Choosing the best VPN for UK involves evaluating speed, reliability, server count, security, and ease of use. AegisVPN exemplifies these qualities with 40+ UK servers, fast and stable connections, easy setup, and strong privacy features. For anyone seeking a dependable VPN for daily UK use, exploring AegisVPN through the provided link is highly recommended. This analysis is based on insights from the Power Memes channel, a reliable source for tech reviews and tutorials.

## Questions & answers

**What makes a VPN the best choice for UK users?**

The best VPN for UK combines fast speeds, a large number of UK servers, unlimited bandwidth, strong security protocols, and ease of use to ensure reliable daily performance and access to UK content.

**Are there any common problems with VPNs in the UK?**

Yes, common issues include slow speeds due to overloaded servers, limited UK server options, traffic limits, and difficulties accessing UK streaming services. Choosing a VPN with many UK servers and stable connections helps avoid these problems.

**How important is server switching in a UK VPN?**

Convenient and fast server switching is important because it allows users to quickly change servers to maintain optimal speed and access different UK content without interruptions or complicated setups.

**Is AegisVPN a good option for UK VPN users?**

Yes, AegisVPN offers over 40 UK servers, fast and stable connections, easy installation, and strong security features, making it a solid choice for users seeking a reliable VPN for the UK. More details and bonuses are available at https://bit.ly/aegisvpn-meme.


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# What is an AI app and how can you build one like Meta's Muse AI

Discover what an AI app is and how to create one like Meta's Muse AI using a single prompt with modern AI tools like Vibecode.

Source: https://lanlan123.top/what-is-an-ai/ · based on the channel [Ansh Nanda](https://www.youtube.com/channel/UCKcf9VVRF30jsSlJfzrTznw) · Video: [I Built Meta's Muse AI in One Prompt](https://www.youtube.com/watch?v=6N5Efoqxc6E) · 2026-10-07

![What is an AI app and how can you build one like Meta's Muse AI](https://lanlan123.top/what-is-an-ai/what-is-an-ai.webp)

## Key takeaways

- Meta's Muse AI reached #1 on the App Store
- Muse AI integrates brain, hands, and body components
- Vibecode allows building complex AI apps with one prompt
- Muse AI connects to Gmail, Google Calendar, and DoorDash
- OpenClaw and Claude AI power Muse's brain and hands

An AI app is a software application that employs artificial intelligence technologies to perform complex tasks such as understanding language, executing commands, and integrating with various services. A prime example is Meta's Muse AI, which has achieved top ranking on the App Store by combining AI-driven functionalities in a seamless user experience.

## Understanding AI Apps and Meta's Muse AI
AI apps leverage models like large language models and AI agents to automate and enhance user interactions. Meta's Muse AI structures its functionality around three core components: the brain, the hands, and the body. The brain handles decision-making using AI models such as OpenClaw and Claude Opus 5.5, the hands interact with external APIs and services via tools like Composio, and the body runs the app on a cloud computer architecture powered by Orgo AI.

## Building an AI App in One Prompt with Vibecode
Vibecode is a no-code/low-code platform that allows developers and creators to build AI-powered applications efficiently. In the case of Muse AI, it was rebuilt in just one prompt on Vibecode for $14, replicating features such as five interactive tabs, cloud computing capabilities, and integrations with Gmail, Google Calendar, and DoorDash for ordering food.

The process involves:

1. Defining the AI agent's brain using OpenClaw and Claude models to process natural language and manage logic.
2. Utilizing Composio for creating AI-powered interfaces that act as the 'hands' to perform tasks like reading emails or placing orders.
3. Deploying the app's infrastructure on Orgo's cloud computing platform to ensure smooth operation and scalability.

This approach demonstrates how modern AI tools and platforms enable rapid development of sophisticated AI apps with minimal coding.

## How Muse AI Connects to Services
Meta's Muse AI integrates deeply with user services to enhance productivity. It connects to Gmail to read and summarize emails, accesses Google Calendar for scheduling and morning briefings, and even places DoorDash orders automatically. This multi-service connectivity is orchestrated by AI agents that understand user intent and perform actions accordingly.

## Comparing Meta's Muse AI and Its Clone
The clone built on Vibecode matches the original Muse AI's core functionalities, offering the same user interface tabs and cloud-based AI operations. It successfully demonstrates tasks such as reading Gmail content, ordering food, and managing calendar events. This parity highlights the power of AI platforms and prompt engineering in replicating advanced AI applications quickly and cost-effectively.

## Creating Your Own Niche AI Agent
Inspired by Muse AI, creators can build specialized AI agents tailored to specific niches. By combining AI brains, hands, and cloud bodies, one can develop applications that automate workflows, manage communications, or provide personalized assistance. Platforms like Vibecode, Composio, and Orgo facilitate this by providing ready-to-use AI tools and infrastructure.

## Useful Links
- [Vibecode AI app builder with bonus registration](https://vibecodeapp.com/?utm_source=youtube&utm_medium=video&utm_campaign=muse-clone&utm_content=description)
- [Composio AI interface tool](https://composio.dev)
- [Orgo AI cloud computing](https://orgo.ai)
- [OpenClaw AI brain model](https://github.com/openclaw/openclaw)

## Summary
An AI app like Meta's Muse AI combines advanced AI models, user-friendly interfaces, and cloud computing to deliver intelligent assistance across multiple services. Using platforms such as Vibecode, anyone can build powerful AI applications with minimal coding by leveraging prompt engineering and modular AI tools. This opens new opportunities for developers and enthusiasts to create niche AI agents tailored to diverse needs. For a detailed walkthrough and prompt access, check the resources by Ansh Nanda, the creator who demonstrated building Muse AI in one prompt.

## Questions & answers

**What exactly is an AI app like Meta's Muse AI?**

An AI app is a software application that uses artificial intelligence to understand and perform complex tasks such as reading emails, managing calendars, or ordering food automatically. Meta's Muse AI exemplifies this by integrating AI models and cloud services to act as a personal assistant.

**How was Meta's Muse AI cloned in one prompt?**

Using the Vibecode platform, the Muse AI clone was built by defining its AI brain, hands, and cloud infrastructure in a single prompt. This involved combining OpenClaw and Claude AI for cognition, Composio for task execution, and Orgo for cloud computing, enabling rapid app creation for $14.

**Can I build my own AI app without coding experience?**

Yes, platforms like Vibecode and Composio provide no-code or low-code environments that let users create AI apps by assembling AI models and APIs with simple prompts, making AI app development accessible without deep programming skills.

**Does the Muse AI clone perform as well as Meta's original app?**

The clone replicates key features such as Gmail reading, DoorDash ordering, and calendar management, demonstrating comparable functionality. However, ongoing updates and proprietary enhancements in Meta's original app may offer additional capabilities beyond the clone.


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# How to Connect Claude to Instagram in 2 Simple Steps with Composio in 2026

Learn how to easily connect Claude to Instagram using Composio and automate your social media workflows with AI in just two steps.

Source: https://lanlan123.top/how-to-connect-claude/ · based on the channel [Composio](https://www.youtube.com/channel/UCEuoGOJFuXUZZhprSAAK85Q) · Video: [Connect Claude to Instagram in 2 Steps](https://www.youtube.com/watch?v=6TxLSOQGtqA) · 2026-10-06

![How to Connect Claude to Instagram in 2 Simple Steps with Composio in 2026](https://lanlan123.top/how-to-connect-claude/how-to-connect-claude.webp)

## Key takeaways

- Claude is an AI agent that can be connected to Instagram via Composio.
- Composio enables AI-powered workflows across hundreds of apps including Instagram.
- Connecting Claude to Instagram requires only two steps using Composio.
- Once connected, Claude can perform real actions on Instagram automatically.
- The process enhances social media management with AI efficiency and automation.

Connecting Claude to Instagram enables users to automate social media workflows by leveraging AI capabilities. Using Composio, you can link Claude with Instagram in just two straightforward steps, allowing your AI agent to take real action on your Instagram account.

## What is Claude and Composio
Claude is an AI assistant designed to perform intelligent tasks across various applications. Composio is a platform that acts as a bridge between Claude and numerous apps, including Instagram, enabling seamless automation and AI-driven workflows. By connecting Claude through Composio, users gain the ability to manage their Instagram tasks with AI support.

## Steps to Connect Claude to Instagram
Connecting Claude to Instagram involves two main steps:

1. **Authorize Composio Access to Instagram**: Log into your Composio account and navigate to the integrations section. Select Instagram and grant the necessary permissions for Composio to access your Instagram account. This typically involves OAuth authentication where you log in and approve access.

2. **Link Claude to Instagram via Composio**: Once Instagram is connected to Composio, configure Claude within the platform to interact with your Instagram account. This step sets up the AI agent’s permissions to perform actions like posting, commenting, or analyzing content.

After these steps, Claude is ready to execute AI-powered workflows on Instagram through Composio.

## Benefits of Connecting Claude to Instagram
By connecting Claude to Instagram via Composio, users can:

- Automate content posting and scheduling.
- Generate AI-driven caption suggestions.
- Monitor engagement and respond to comments automatically.
- Analyze performance metrics without manual data gathering.
- Integrate Instagram workflows with other connected apps for streamlined management.

This integration enhances productivity and allows marketers and creators to focus on strategy rather than routine tasks.

## Security and Privacy Considerations
When connecting Claude to Instagram through Composio, ensure that:

- You use official authorization methods to avoid unauthorized access.
- Permissions granted are limited to necessary actions.
- Your Instagram credentials are never shared directly but handled via secure OAuth flows.
- Review Composio’s privacy policies to understand data handling.

Maintaining security ensures that your Instagram account remains safe while leveraging AI automation.

## Use Cases for Claude and Instagram Integration
Typical use cases include:

- Scheduling posts and stories with AI-optimized timing.
- Auto-responding to DMs or comments based on AI analysis.
- Creating content ideas and hashtags with AI assistance.
- Monitoring competitors and trends by integrating data sources.

This functionality transforms Instagram management into a scalable, AI-driven process.

## Summary
Connecting Claude to Instagram in two simple steps via Composio unlocks powerful AI capabilities for social media management. By authorizing Composio access and linking Claude, users can automate posting, engagement, and analytics efficiently. This integration reduces manual workload and leverages AI to enhance Instagram workflows. The channel Composio provides detailed guidance and tools for this setup, making it accessible for both individuals and businesses looking to optimize their social presence.

## Questions & answers

**What is Claude in the context of Instagram integration?**

Claude is an AI agent that can perform automated tasks and workflows across different apps, including Instagram, when connected via platforms like Composio.

**How many steps are needed to connect Claude to Instagram using Composio?**

Only two steps are required: authorizing Composio to access Instagram and linking Claude to Instagram through Composio's interface.

**Is it safe to connect my Instagram account to Claude through Composio?**

Yes, the connection uses secure OAuth authentication methods, ensuring your credentials are protected and permissions are controlled. Always review privacy policies before authorizing access.

**What kind of Instagram actions can Claude perform once connected?**

Claude can automate tasks such as posting content, responding to comments, generating captions, analyzing engagement metrics, and integrating Instagram workflows with other apps.


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