Main Topics Covered:

* How Dipesh’s AI agent reads and briefs his emails three times daily

* Full live walkthrough of setting up Claus with Gmail and Google Calendar

* Prompt engineering to prevent AI from sending emails without approval

* The time investment to automate email management (~15-20 minutes setup)

* Cost considerations for using AI agents ($19–$39/month)

* Security risks including data hallucination and unauthorised access

* Strategies to safeguard sensitive information (e.g., using separate email addresses)

In this episode:

* Dipesh shares his initial email checking habits (15-18 times daily) and how automation replaced this

* Step-by-step setup process using CLAWS.app and OpenClaw framework

* How the AI filters important emails, highlights urgent actions, and syncs with Google Calendar

* Custom training of the AI using emails downloaded via Google Takeout

* The importance of setting clear instructions, e.g., “Draft only, do not send”

* How to detect and handle setup hiccups, and the tools involved

* Cost justification based on hours saved and focus gained

* Security measures: connection restrictions, minimising hallucinations, and auto-forward rules

* Practical advice for replicating the setup in under an hour

Timestamps:

00:00 — Introduction: how Dipesh stopped checking email entirely using an AI agent

00:34 — The problem: checking Gmail 15–18 times a day as muscle memory

01:50 — What he tried first: filters, rules, and unsubscribing (and why they failed)

03:27 — Live demo: the agent setup and what the daily briefings look like

07:08 — Setup time and the service he used

08:10 — Connecting Gmail and Google Calendar

08:40 — How the agent decides what’s important (without explicit instructions)

09:49 — Training the agent with historical email data via Google Takeout

10:53 — Replicating the setup live from scratch

13:47 — Scheduling briefings with plain-language instructions (9 AM, noon, 4 PM)

16:43 — The real risks of giving AI access to your Gmail

18:21 — How to prevent the agent from sending email without your approval

19:25 — Additional safety setups (separate forwarding address, local AI filtering)

21:24 — Using “skills” to lock in standing instructions

23:49 — Efficiency gains: three weeks without opening Gmail

24:19 — The cost ($19–$39/month) and whether the ROI makes sense

25:50 — How to get started in under an hour

Resources & Links:

* Klaws.app — Easiest AI automation for Gmail and Google Calendar

* OpenClaw — Framework for managing AI agents

* Google Takeout — Download all emails for training your AI

* Composio — Service used for linking Gmail with AI

Connect with Dipesh:

* LinkedIn

* Twitter

Note:

Security practices and prompt engineering are crucial to prevent unintended AI actions, hallucinations, or data breaches. Always assess the risks before giving AI access to sensitive data.

Main Topics:

* What is Librarian and how does it function as an AI executive assistant?

* The evolution of AI from static software to dynamic, voice-controlled workflows

* Use cases in real estate: lead management, property searches, and task automation

* How Librarian integrates with popular platforms like WhatsApp, Gmail, Google Drive, and more

* Building vertical-specific solutions: focusing on real estate and insurance

* Challenges in setup, integration, and maintaining data privacy and security

* Practical steps to get started with Librarian and maximising its features

* The broader applicability of AI assistants for lawyers, coaches, and sales teams

* Impact on peace of mind and productivity through reminders, briefs, and automation

Timestamps:

00:00 - Introduction to Librarian, an AI executive assistant for task automation00:44 - How Librarian works and interfaces with users via WhatsApp01:20 - The leap from traditional software to AI-enabled voice interactions02:13 - The origin story: from blockchain disappointment to AI revolution03:05 - The search for pain points: inefficiencies in real estate workflows03:55 - Demonstrating Librarian’s ability to search and organize information across platforms04:53 - The focus shift to verticals, especially real estate, for deeper impact05:46 - Illustrating real estate use case: driving, lead capturing, and task automation08:03 - Practical demo: managing a property lead call via WhatsApp09:29 - Invoking Librarian to share property options and reminders for clients11:10 - Capturing lead data, tasks, and scheduling follow-ups automatically12:13 - Crafting messages and updating tasks hands-free while on the move14:17 - Beyond property searches: calendar management and email automation16:42 - Workflow automation: from lead intake to automation on Slack and tickets18:29 - The value of integrations like GitHub for troubleshooting and task management20:29 - Addressing setup complexities and the value Librarian provides in stitching workflows23:19 - Ease of setup: from messaging setup to full automation with minimal effort25:22 - How Librarian enhances peace of mind and daily planning with reminders and briefs27:53 - Expanding use cases: lawyers, consultants, and sales professionals29:27 - Practical applications for insurance agents and client management30:30 - Security and privacy measures: encryption, SOC 2 certification, and data handling32:25 - How to get started: creating a free account, top features to explore33:22 - Final thoughts and call to action for productivity enthusiasts

Resources & Links:

* Librarian AI Executive Assistant

Connect with Tiago:

* LinkedIn

* Twitter

Experience the future of work now — start your free 14-day trial with Librarian and transform your productivity!

Main Topics:

What is Kairos and how it functions as an AI intern for SMBs

Use cases: lead generation, outreach automation, and workflow simplification

The technical architecture: AI models, agent harness, and cloud infrastructure

Challenges: cost, verification, safety, and model limitations

Future outlook: autopilots, autonomous agents, and scalable AI workflows

Timestamps:00:00 Introduction to Manas Bam and Kairos AI intern demo02:00 What is Kairos? Explaining its role for small business owners04:00 Why build an AI intern instead of hiring? Cost and efficiency benefits06:00 Evolution of AI agents: from helpers to autonomous systems08:00 The technical setup: cloud computers, tool integration, and sandboxing10:00 How Kairos manages outreach tasks: LinkedIn, Reddit, and email campaigns12:00 Automation in action: finding startup founders and reaching out14:00 Personalizing outreach through AI and data-driven prompts16:00 How vague prompts can still yield precise results with screen sharing18:00 The future of autonomous agents: continuous background work and self-starting workflows20:00 Handling platform risks: avoiding bans and platform policies22:00 Infrastructure behind Kairos: virtual machines and cloud services (AWS)24:00 Verifying lead quality: manual review, use cases, and ongoing improvements26:00 Cost considerations: AI model expenses versus business automation value28:00 Business profiles best suited: solopreneurs handling multi-faceted workflows

Resources & Links:

Kairos

Connect with Manas Bam:

LinkedIn

Twitter