bingwu1995

I'm building a General Purpose Agent in the B2C space. The benchmark is Manus (autonomously execute complex, multi-step tasks over time).

I'm currently stuck in a strategic loop:

1. The Clone Trap: If I just build another "Chat + Tools" interface, I have no moat. Minor UI tweaks won't save a startup against a category leader.

2. The Hammer Trap: On the other hand, trying to differentiate often feels like "holding a hammer looking for a nail." I'm terrified of building rigid workflows or "innovative" features that users didn't actually ask for, just to look different.

The Question:

For a General Agent, does differentiation strictly have to come from narrowing the domain (niche vertical)?

Or is there a real opportunity to innovate on the interaction layer (beyond the chat box) without arbitrarily constraining the user?

I’m using Gemini for speech-to-text and it often misrecognizes company names and acronyms.

Is there any way to use a custom lexicon or vocabulary with Gemini to improve recognition accuracy? If not directly supported, what are practical workarounds people use — e.g. preprocessing prompts, fine-tuning, or combining Gemini with another ASR that supports phrase boosting?

After reading this paper on autonomous tool invocation (https://arxiv.org/pdf/2506.01056), I'm wondering if others share my frustration with the current MCP (Model Context Protocol) workflow. My typical process for adding a new capability to my agent:

1) Search for MCP servers that might have the functionality I need 2) Read through documentation to verify it actually does what I want 3) Install the MCP server and manually add it to my agent's tool list

This feels incredibly time-consuming and not "agentic".

Am I missing something? For those building with MCP:

- How do you discover relevant MCP servers for your use cases? - Is there a tool/platform that aggregates MCP servers with searchable capabilities? - Has anyone automated the process of going from "I need X functionality" to "agent can now do X"?

Feels like there should be a better way where agents could discover and configure tools themselves based on capability requirements.