AI Did My Entire Job for 7 Days (WorkBuddy)

2026-07-06 · Source: Siraj Raval · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Fundamental Awareness, medium

Summary

Work Buddy is an AI-native agent designed for everyday office work, functioning as a digital coworker that delivers finished files rather than just text answers. Over a 7-day trial, it successfully completed end-to-end tasks, including generating a one-page summary and a slide deck from messy notes and raw numbers. Unlike traditional AI tools, Work Buddy leverages over 100 built-in skills and expert teams to execute complex workflows, planning steps and producing real documents, slide decks, and spreadsheets. A key feature is its ability to run multiple tasks in parallel, such as researching a topic, drafting emails, and preparing a second deck simultaneously, delivering outputs directly to existing folders and applications. The agent consistently produced usable, finished deliverables, significantly shortening the gap between task initiation and completion by eliminating manual copy-pasting and reformatting.

Key takeaway

For Operations Professionals or Directors of AI/ML evaluating productivity tools, Work Buddy represents a shift from AI assistants that generate text to agents that deliver finished work. If your team spends significant time on repetitive document creation, report formatting, or email drafting, consider piloting Work Buddy. Give it a real, messy task from your current workload to assess its ability to shorten the gap between task initiation and a usable deliverable, freeing up your team for higher-value activities.

Key insights

AI agents like Work Buddy can autonomously execute multi-step office tasks and deliver finished, usable files directly to user workflows.

Principles

• AI agents can deliver finished work, not just text.
• Pre-built workflows accelerate recurring tasks.
• Parallel task execution boosts productivity.

Method

Users describe tasks in plain language and point to files. The agent plans steps, pulls data, writes content, builds files, and delivers finished documents, decks, or spreadsheets directly to user folders/apps.

In practice

• Generate summaries and slide decks from raw data.
• Automate email drafting and research concurrently.
• Configure workflows for recurring reports.

Topics

• AI Agents
• Office Automation
• Workflow Automation
• Productivity Tools
• Parallel Task Processing
• Document Generation

Best for: Executive, AI Product Manager, Product Manager, Consultant, Operations Professional, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Siraj Raval.