# Let's Build Your First AI Agent | We Call Shotgun > AI agents are everywhere — but most people have never built one. Here's a practical, no-code guide to creating your first agent in under an hour. Source: https://wecallshotgun.com/blog/lets-build-your-first-ai-agent Language: en --- [Your Spicy Advisory becomes We Call Shotgun!Read the story →](https://wecallshotgun.com/blog/spicy-advisory-is-now-we-call-shotgun) [HOME](https://wecallshotgun.com/) [ABOUT US](https://wecallshotgun.com/about) [REVIEWS](https://wecallshotgun.com/reviews) [BLOG](https://wecallshotgun.com/blog) [Book a Call](https://cal.com/wecallshotgun/ai-adoption) AI Tools # Let's Build Your First AI Agent By [Toni Dos Santos](https://wecallshotgun.com/about) • Apr 2, 2025 • 7 min read SummaryAI agents are everywhere — but most people have never built one. Here's a practical, no-code guide to creating your first agent in under an hour. Everyone's talking about AI agents. Most people have no idea what they actually are — or that you can build one yourself without writing a single line of code. Let's fix that today. By the end of this post, you'll have built a working AI agent that does something genuinely useful. ## Wait, What's an AI Agent? Forget the sci-fi definition. An AI agent is simply **an AI that can take actions**, not just answer questions. Instead of you copy-pasting AI outputs into other tools, the agent does it for you. Think of it this way: - **Chatbot:** You ask a question, it answers. Done. - **Agent:** You give it a goal, it figures out the steps, uses tools, and delivers a result. A simple example: instead of asking ChatGPT to "write a LinkedIn post about our new feature," an agent could monitor your product changelog, draft posts for each update, format them for LinkedIn, and queue them in your scheduling tool — automatically. ## The Building Blocks Every AI agent has three components: - **A trigger** — what kicks it off (a schedule, a new email, a form submission) - **AI processing** — the LLM that does the thinking (GPT-4, Claude, etc.) - **Actions** — what the agent does with the result (sends an email, updates a database, posts to Slack) That's it. Trigger → Think → Act. Simple. ## Let's Build One: The Competitor Monitor Agent Here's what we're building: an agent that monitors competitor websites weekly, summarizes what changed, and posts a digest to your Slack channel. ### What You'll Need - A **Make.com** account (free tier works) - A Slack workspace - An OpenAI API key (or you can use Make's built-in AI module) ### Step 1: Create a New Scenario in Make.com Log into Make.com and click "Create a new scenario." This is your agent's workspace — each bubble represents a step in the workflow. ### Step 2: Add the Trigger Add a **Schedule** module and set it to run every Monday at 9 AM. This is your trigger — the agent wakes up once a week. ### Step 3: Fetch Competitor Content Add an **HTTP** module to fetch your competitor's blog or changelog page. Set the URL to their public page. Make will grab the raw HTML content. Repeat this for each competitor you want to track (up to 3-4 for a clean digest). ### Step 4: AI Analysis Add an **OpenAI** module (or Make's AI module). Use this prompt: > "Analyze the following web page content. Identify any new products, features, pricing changes, or notable announcements. Summarize the key changes in 3-5 bullet points. If nothing significant changed, say 'No major updates this week.' Content: [paste the HTTP output]" ### Step 5: Post to Slack Add a **Slack** module. Configure it to post to your #competitive-intel channel. Format the message with the competitor name and the AI's summary. ### Step 6: Test and Activate Run the scenario once manually to test. Check your Slack channel. If the message looks good, toggle the scenario to "Active" and you're done. **Total time: 30-45 minutes.** ## Making It Smarter Once your basic agent works, here are ways to level it up: - **Add a filter:** Only post to Slack if the AI detects actual changes (skip "no updates" weeks) - **Store history:** Add a Google Sheets module to log every change, building a competitor timeline - **Multi-source:** Add RSS feeds, Twitter/X monitoring, or job postings to get a fuller picture - **Team routing:** Use AI to categorize changes (pricing vs. features vs. hiring) and route to different Slack channels ## Other Agents You Can Build This Way Once you get the pattern, the possibilities open up fast: - **Lead qualifier:** New form submission → AI scores the lead → routes to the right salesperson - **Content repurposer:** New blog post → AI creates social posts, email snippet, and tweet thread - **Support triager:** New support ticket → AI categorizes urgency and topic → assigns to right team - **Meeting summarizer:** Recording uploaded → AI transcribes and extracts action items → posts to project channel ## The Key Takeaway Building AI agents isn't about coding skills. It's about **identifying repetitive workflows** where you're the bottleneck between an input and an action. Find those bottlenecks, and you've found your next agent. Start simple. One trigger, one AI step, one action. Get that working perfectly. Then add complexity. The best first agent isn't the most impressive one — it's the one you'll actually use every day. **Want hands-on help building AI agents for your team?** We run [AI adoption workshops](https://wecallshotgun.com/enterprise) for enterprise teams and help [startups](https://wecallshotgun.com/enterprise) build AI-powered GTM systems. ## Keep Reading [AI Tools Aug 23, 2026 ### CBI Adoption Decade Report: The AI Execution Divide Is a People Problem The CBI, with Oliver Wyman, has asked the UK government to make the next ten years an “adoption decade”. The headline number is a 49% vs 15% ROI gap between AI deployment leaders and laggards buying the same technology. Here is our perspective on why that gap is behavioural, and what to do about it in 90 days. 14 min read Read →](https://wecallshotgun.com/blog/cbi-adoption-decade-ai-execution-divide) [AI Tools Aug 17, 2026 ### AI Adoption Training: Why Most AI Projects Fail After Go-Live (UK Guide 2026) AI adoption training is the discipline most AI projects skip: workflow-first enablement that turns paid licences into changed daily work. Why projects die at the handover cliff, what a real programme contains, the day-90 test, who actually sells it in the UK, and what it costs. 7 min read Read →](https://wecallshotgun.com/blog/ai-adoption-training-uk) [AI Tools Aug 17, 2026 ### AI Advisory vs Implementation vs Training: Which AI Partner Do You Actually Need? Advisory produces decisions, implementation produces systems, training produces changed behaviour — three different purchases that firms blur to sell their own lane. A symptom table to self-diagnose, the sequence that inverts in 2026, and what each lane should cost in the UK. 6 min read Read →](https://wecallshotgun.com/blog/ai-advisory-vs-implementation-vs-training) ## Related AI Training Solutions Programs tailored to your role, industry, or function. 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