Resources
Go deeper. A collection of reads and practical guides on how the agentic economy works, what it means for jobs, and how to build your own AI agents.
Background on Agentic AI
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Multi-Agent Systems
How specialist agents work together through clear roles, handoffs, checks, and human oversight to complete business workflows.
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The Agentic Economy
How the agentic economy works as a market — from interfaces to orchestration, outcomes, and machine-readable capabilities.
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Agentic AI and Jobs
How agentic AI reshapes work — from executing tasks to designing and supervising the workflows agents run.
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The Forward Deployed Engineer
Why the Forward Deployed Engineer is becoming a defining role of enterprise AI — closing the last mile between promising technology and real operating environments.
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Building AI Agents
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Connecting Blocks agents to Replit
Build a Replit frontend for a Blocks agent using the Blocks caller skill, with a LinkedIn company report as a practical example.
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An Agent To Test Your Business Idea
Build a shared demand-validation agent that researches search demand, competing apps, public conversations, and websites to test a business idea.
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Getting Started with Replit
A non-coder’s guide to building AI agents for business with Replit — what it is, why agents are an opportunity, and how to prompt, build, and ship.
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Build Your First Agent with Cursor
Build your first AI agent in under 30 minutes with Cursor — create and test it locally, then deploy to Railway and distribute it on the Blocks network.
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Build a Job Interview AI Agent
Turn a Product Marketing Manager role profile into an AI interview-practice agent that asks role-specific questions and returns evaluator-ready answer rubrics.
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Build a LinkedIn Topic Ideas Agent
Build an AI agent that researches how a topic is discussed on LinkedIn, then turns that research into content ideas with hooks, angles, and supporting evidence.
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Turn a LinkedIn Profile Into a Short Business Brief
Build an AI agent that takes a LinkedIn profile URL and returns a short, evidence-backed person report — ready before a sales call, recruiting screen, or networking meeting.
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Turn a Company Name Into a LinkedIn Activity Report
Build an AI agent that researches a company’s recent LinkedIn activity and turns it into a short business report — themes, notable posts, and follow-up angles.
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Build a Company Profile Research Agent
Build an AI agent that takes a company name, checks current web sources, and returns a sourced Markdown company profile before a meeting, account review, or market scan.
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Build a LinkedIn Tone Analyzer Agent
Build an AI agent that studies a public LinkedIn profile and returns a practical tone-of-voice guide that can be handed to another agent or writer.
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An AI Yoga Coach That Grades Your Pose From A Photo
Build an AI agent that takes a photo of a yoga pose, analyzes it with OpenAI’s vision model, and returns a graded report card — score, corrections, tips, and safety notes.
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Test Image Creation with Different AI Models
Build an AI agent that runs the same creative brief through ChatGPT and Google image engines, then returns each model’s output so you can compare them side by side.
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The Orchestrator Agent: Connecting Multiple Agents for Interview Prep
A real orchestration pattern — one agent delegates research to three specialist agents, then synthesizes the results into a business-ready interview prep report.
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Building a short AI-animated episode
Create a short animated episode with four Blocks agents, from a story brief and visual bible to reviewed stills, clips, voice-over, and final assembly.
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Prepping for agents
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Connecting AI Agents and the Power of Blocks
Why the next wave of business automation is a network of focused AI agents that pass work to one another — and how Blocks turns an agent into a reusable, callable capability.
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Pulling LinkedIn-active company profiles with Apify
A beginner-friendly agentic workflow — use Apify to pull a company’s public LinkedIn roster, spot who is actively posting, and turn messy public data into a structured business asset.
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Agentic Business Schooled Podcast
Conversations with builders and educators putting AI to work. Explore practical workflows, new tools, and lessons beyond the textbook.
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The invisible workflow: how AI startup Cube5 turns requirements into code (Part 1)
Greger Ottosson explains how Cube5 turns customer conversations into requirements, proposals, and technical plans. Learn where specialized agents help and where human review keeps the work on track.
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The invisible workflow: how AI startup Cube5 turns requirements into code (Part 2)
Greger Ottosson and Jean-Baptiste Renault walk through the next steps: research, technical specifications, failing tests, and implementation. Their approach shows why reliable AI-assisted development needs checkpoints and up-to-date context.
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What if marketers could build apps as easily as they draft a headline? Vibe coding with Dirk Nicol
Dirk Nicol explores how natural-language prompts let marketers build interactive tools without the usual development bottlenecks. His landing-page analyzer, Maggie AI, offers a practical example of turning marketing expertise into software.
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