A: Hey Lee,

Thanks so much for the kind words and for grabbing Tier 1 to explore AgenticFlow – that's awesome! We're excited about the agentic tech too and believe it offers a significant step up. Let's address your questions.

Regarding selling a group of agents as a package, you'd build the various specialized agents within your AgenticFlow workspace. For delivery to clients, you could embed each agent individually onto their respective websites using our script snippet. Alternatively, for a more packaged feel, you could use our API and the free Next.js boilerplate code (find it at github.com/PixelML/agenticflow-boilerplate) to build a custom portal or dashboard under your own brand. This portal could then provide access points to the different agent functionalities you've built, all powered by AgenticFlow in the backend. Remember, the usage credits for these client-facing agents would come from your AgenticFlow workspace.

On white-labeling, while the AppSumo LTD doesn't include a specific white-label license, you can achieve a fully branded client experience using the boilerplate code method mentioned above. This lets you build your own user interface completely, effectively hiding AgenticFlow which just acts as the powerful "AI Agent OS" behind the scenes. For complete isolation and control, we also offer a separate Enterprise deployment option that can run in your client's private cloud, though that's outside the scope of the LTD.

Concerning replacing tools like Make.com or Zapier, our MCP layer (with its 2500+ integrations - check them at agenticflow.ai/mcp) does significantly reduce the need for them for many automations. Agents can use these connected tools directly based on natural language, and workflows will soon be able to call MCP actions too, simplifying the connection process compared to manual API wiring. However, Make/Zapier have huge libraries, including very niche apps, and might still have specific triggers or complex built-in logic functions that AgenticFlow doesn't replicate natively yet. AgenticFlow can certainly work alongside them, perhaps receiving triggers via webhooks or sending data out via API calls.

Finally, regarding external storage for knowledge bases like AWS S3: Currently, agent knowledge bases are primarily populated by uploading files (like PDFs, CSVs) directly into AgenticFlow or by having the agent crawl specific website URLs. There isn't a built-in feature right now to directly connect an agent's core knowledge source to an external S3 bucket for live, dynamic retrieval. If this is a critical feature for you, please add it as a suggestion to our public roadmap (agenticflow.featurebase.app) so we can gauge community interest and prioritize accordingly.

Thanks again for jumping in with Tier 1! We hope you enjoy experimenting, and don't hesitate to reach out in the community if you have more questions as you build.