AI Agents Launchpad

Build, Deploy & Scale in Hours. 7 part series

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AI Agents Launchpad: Build, Deploy & Scale in Hours

Whether you’re solo-founder, or leading a dev team, embedding AI often feels like a six-month project. This series shatters that myth. Over the next seven posts, we’ll explore six families of ready-made AI agents—Starter, Advanced, Game-Playing, Multi-Agent Teams, Voice AI, MCP, and RAG—each designed to solve real problems in hours, not quarters.

Each article will deep-dive into one category: code repo, deployment tips and real-world use cases. Subscribe to this newsletter so you don’t miss the walkthroughs, and join the conversation on Telegram if you hit any snags.

*This series is available to F42+ members.

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Why AI Agents Matter

• Speed to Value: Prototype features in a day, validate with real users and iterate.

• Minimal Overhead: No bespoke ML pipelines; these bots plug straight into your existing stack.

• Business Impact: From automated lead-gen to self-optimising workflows, deliver tangible ROI fast.

Series at a Glance

1. 🌱 Starter AI Agents
   • Add smart features—podcasts, data-analysis dashboards or meme generators—with a handful of lines.

   🤖 Kickstart Your AI Journey with Starter Agents

2. 🚀 Advanced AI Agents
   • Dive deeper: automated market research, system-architecture blueprints and financial coaching.

   🚀 Turbocharge Your Product with Advanced AI Agents

3. 🎮 Autonomous Game‑Playing Agents
   • Gamify engagement or simulate decision-making with reinforcement-learning demos.

   🎮 Gamify Interactions At Scale: Autonomous Game‑Playing Agents

4. 🤝 Multi‑agent Teams
   • Orchestrate specialised sub-agents for end-to-end workflows—competitor intelligence, hiring funnels and more.

   🤝 Unite Specialized AI Collaborators: Multi‑Agent Teams

5. 🗣️ Voice AI Agents
   • Build hands-free interfaces: audio tours, call-centre bots or IVRs powered by ASR + TTS + LLMs.

   🗣️ Enable Hands-Free Conversations: Voice AI Agents

6. 🔗 MCP AI Agents
   • Bridge LLMs to your tools—browsers, GitHub, Notion, travel APIs—via natural-language prompts.

   🧩 Bridge LLMs and Your Tools: MCP AI Agents

7. 📚 RAG (Retrieval Augmented Generation)
   • Fuse LLM power with vector stores and document search for fact-driven, up-to-date answers.

   📚 Power Precise, Data-Driven Answers: RAG Agents

For the ❤️ of startups

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For the ❤️ of startups

✌🏼 & 💙
Derek

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