🤖 AI Agents & Workflows

Wickedsmaht.fun

📁 AI Agents & Workflows 👤 Contributed by @thirdspider0xx0-bit 🗓️ Updated
The prompt
Solona token launchpad for spl and sol2020 tokens with the metadata, bonding curve, migrate after through apps amm. Remixing the idea of pump.fun and virtuals but creating an AI agent ran DAO where token holders create agents and add them to the core decision making and voting, creating buybacks with no human governance just AI Agents. Also a gamified up vs down predictions integration for funding native token, development and app, airdrops, and 10percent to team

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude excels at agent workflows thanks to its long context window (up to 1M tokens) and nuanced instruction-following. ChatGPT has native Actions (tool-calling) built in. Gemini integrates best with Google Workspace data. For autonomous workflows, Claude Sonnet 4.6 is the current sweet-spot for quality and cost.

How to customize this prompt

Adjust the agent's role and constraints to your environment. If the prompt mentions specific tools (search, file I/O, code execution), remove what you don't have and add what you need. Add guardrails: "Always ask for confirmation before writing files." Define success criteria explicitly.

Common use cases

  • Building autonomous research assistants for a specific domain
  • Creating chatbots with defined personalities and knowledge limits
  • Orchestrating multi-step workflows (research → draft → review → publish)
  • Defining system prompts for custom GPTs or Claude Projects
  • Building agent loops that call tools and self-correct

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).

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