OpenClaw Use Cases that are actually helpful...

How to Use OpenClaw Effectively

Introduction to OpenClaw

• The speaker introduces their extensive experience with OpenClaw, claiming to be one of the most advanced users globally.

• A fresh MacBook Air is used for OpenClaw, which runs 24/7 in clamshell mode and is connected to the internet.

Remote Access Setup

• TeamViewer is installed for remote access, allowing changes on the computer from anywhere.

• TailScale is set up for easy SSH access, enabling coding from other computers.

System Overview

• The speaker presents a high-level overview of their system setup, emphasizing its complexity but promising detailed explanations.

Communication Interfaces

• Telegram serves as the primary interface for interacting with OpenClaw, organized into niche topics without starting new sessions daily.

• Slack is implemented narrowly; only the speaker can invoke commands through it.

Models and Skills Utilized

• Multiple AI models are employed including Anthropic, Opus, Sonnet, Haiku, Google Gemini, XAI Gro, XARCH, and OpenAI.

• Various skills are developed within OpenClaw such as personal CRM management and video idea generation.

Data Management Strategies

• A hybrid database approach combines traditional SQL searches with natural language processing using vector columns.

• Extensive data storage includes contacts in a CRM and various logs like cron updates and social media analytics.

Integration with External Services

• Integration with services like Google Workspace via GG, Asana, HubSpot, Todoist, Fathom, Brave Browser, GitHub and YouTube API enhances functionality.

Code Review Process

• Grapile is highlighted as a code review tool that helps catch bugs missed by other systems. It’s noted for its efficiency in improving code quality across popular repositories.

Personal CRM Workflow Explained

Daily Email Parsing

• The personal CRM workflow involves downloading emails daily to filter out unwanted contacts while retaining valuable ones.

Contact Management Features

• High-quality contacts are saved in the database along with conversation histories for easy retrieval of information about past interactions.

Meeting Preparation and Knowledge Management

Meeting Prep Workflow

• The system extracts participants from calendar invites, deduplicates contacts, and classifies roles using an AI model (Gemini 2.5).

• Each morning, it filters calendar events to provide a tailored meeting prep summary, including past discussions and agenda items.

• This workflow helps maintain awareness of key topics and individuals before meetings.

Knowledge Base Creation

• A centralized repository is established for interesting articles on artificial intelligence, allowing natural language searches.

• Users can submit files or URLs via Telegram; the system normalizes and stores this information in a vector database for easy retrieval.

• Queries against the knowledge base yield relevant articles with sources, facilitating content creation like videos.

Video Idea Pipeline Automation

Streamlined Video Ideation Process

• Previously time-consuming processes are automated; links shared in Slack now trigger video idea generation without manual effort.

• Articles dropped into Telegram automatically post summaries to Slack for team discussion on potential video topics.

Research and Content Development

• The system parses video topics from Slack or Telegram inputs, conducts research online, and checks the knowledge base for relevant articles.

• It generates video pitches quickly while ensuring no duplicate ideas are proposed; outlines and hooks are created within 30 seconds.

Twitter Search Optimization

Efficient Twitter Data Retrieval

• A fallback daisy chain system is built to optimize Twitter searches through various APIs at low costs.

• The first tier utilizes FX Twitter's API for individual tweet lookups but lacks broader search capabilities.

• A secondary option (twitterapi.io), allows more extensive querying at a cost-effective rate of 15 cents per thousand tweets.

API Integration and Data Analysis Workflow

Utilizing APIs for Optimized Results

• The speaker discusses using multiple APIs, including the expensive X API v2 at $0.005 per tweet, to gather comprehensive data efficiently.

• A fallback strategy involves using the XAI API with the XARCH tool and Grock for Twitter searches, ensuring a balance of cost-effectiveness and speed.

YouTube Analytics Tracking

• Daily tracking of YouTube analytics is performed through an API that pulls stats on video performance and channel growth, storing this data locally in a database.

• Competitor analysis includes monitoring their upload cadence and generating PNG charts to visualize insights about successful content strategies.

AI-Powered Business Insights

• Inspired by Brian Armstrong from Coinbase, the speaker employs AI to analyze business data for identifying gaps and improvement opportunities.

• A council of AI agents collaborates to generate daily reports based on various signals like YouTube metrics, CRM health, social media growth, and meeting transcriptions.

Signal Processing and Report Generation

• The system compacts data into the top 200 signals by confidence before drafting actionable insights aimed at improving business operations.

• A diverse team of AI roles (growth strategist, revenue guardian, etc.) reviews findings collaboratively to ensure comprehensive feedback before finalizing reports.

HubSpot Integration with OpenClaw

• HubSpot is integrated into OpenClaw for managing sponsorship deals; it allows natural language queries regarding deal statuses but isn't heavily utilized yet.

• The integration classifies intents from requests related to deal pipelines, providing summaries based on current qualifications.

Enhancing Communication with Humanizer Skill

• The Humanizer skill is applied across all communications within OpenClaw to eliminate "AI smell" from writing outputs.

• This skill proactively detects AI writing patterns and revises them before publishing content while continuously updating its capabilities.

Image and Video Generation Capabilities

• Integration of Nano Banana and VO APIs enables image and video generation through OpenClaw via Telegram commands.

• Users can request specific edits or new creations interactively through Telegram chats, showcasing modularity in automation processes.

To-do List Management Automation

• Further details on managing tasks were not provided in this segment.

How to Optimize Meeting Notes and Task Management

Efficient Note-Taking with AI Tools

• The speaker utilizes Fathom notetaker for transcribing video conferences, opting out of its built-in takeaway generator due to inefficiencies.

• After transcription, the speaker sends the notes to Gemini 2.5 Flashlight for extracting key takeaways for both themselves and attendees.

• Tasks are automatically generated from meeting transcripts, including actions, owners, and deadlines, which are cross-referenced with CRM data.

Cost Management in AI Usage

• The speaker monitors API call costs closely to avoid unexpected charges while using various AI services.

• Monthly expenses total around $150 for cloud subscriptions and API calls, which the speaker finds reasonable given the value received.

• A tracking system logs every AI call made, allowing insights into spending trends and identifying costly workflows.

Automation Services Overview

• The speaker employs multiple tools such as Telegram, Slack, Google Workspace (for calendar/email), Asana, To-Doist, HubSpot, YouTube APIs, GitHub, Google Drive among others for seamless operations.

• Regular backups occur every hour; code changes are synced with GitHub while databases are stored on Google Drive to prevent data loss.

Daily Operations and Maintenance

• Daily tasks include syncing code repositories for updates and ingesting emails along with collecting YouTube analytics.

• A nightly business briefing is conducted alongside weekly synthesis of daily notes into long-term memory within OpenClaw's framework.

Backup Strategies

• All critical data is backed up regularly in GitHub (code files) and Google Drive (databases), ensuring easy restoration if needed.

• Comprehensive logging includes CRM data analytics and knowledge base information that can be timestamped for recovery purposes.

Memory Management Techniques

• The default memory system captures daily interactions like completed tasks or mistakes made throughout the day.

• Weekly syntheses distill patterns from daily notes into long-term memory without manual intervention.

This structured approach highlights how technology can streamline note-taking processes while managing tasks effectively through automation.

Development Environment Preferences

Interface and Tools Used

• The speaker prefers using Cursor for development due to its user-friendly interface, which allows visibility of file creation compared to Telegram's single chat window.

• The setup involves SSH into a MacBook Air where OpenClaw is installed, utilizing TeamViewer for complete control when necessary.

• Multiple Git repositories are maintained: one for major projects like CRM and another specifically for OpenClaw.

Markdown File Management

• To manage markdown files effectively, the speaker emphasizes the importance of keeping them updated to avoid drift as skills are added to OpenClaw.

• A workspace.md file is created that outlines the architecture and key components such as SQLite for storage and model providers used in the project.

Best Practices Implementation

• The speaker ensures accuracy by having OpenClaw download best practices from its website, cross-referencing these with existing markdown files daily.

• Specific attention is given to Opus 4.6 prompting guidelines; these are also stored locally and referenced regularly to maintain adherence to best practices provided by Anthropic.