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<h2>Problem Statement</h2>Managing crypto trading manually is inefficient, as market conditions change rapidly. Delayed responses can lead to missed opportunities and increased risks. An automated AI-driven trading system can enhance decision-making and optimize trade execution.<h2>Why This is Needed</h2><ol><li>Market Volatility – Prices fluctuate constantly, requiring real-time monitoring and execution.</li><li>KOL &amp; Market Signal Tracking – Insights from KOLs and trading signals need instant processing.</li><li>Risk Management – Manual execution increases the risk of poor decisions and delayed reactions.</li></ol><h2>Solution</h2>Develop an AI-powered crypto trading agent that automates trading actions:<ul><li>Market-Driven Trading: Monitor KOL recommendations and market trends to execute automatic buy/sell orders.</li><li>On-Chain Actions: Automate airdrops, token transfers, staking, and yield farming based on predefined conditions.</li><li>Risk Management: Set stop-loss, take-profit limits, and trading strategies to protect assets.</li></ul><h4></h4>

In Review

Crypto Trading Automation Agent

QF User

<h2>Problem Statement</h2>Managing KOL collaborations involves multiple repetitive and time-sensitive tasks, such as outreach, tracking, verification, and payment processing. Manual execution is inefficient, prone to delays, and difficult to scale.<h2>Why This is Needed</h2><ol><li>Time-Consuming Communication – Reaching out to multiple KOLs via email or DM, following up for drafts, and chasing post links takes a lot of effort.</li><li>Tracking &amp; Validation Complexity – Manually verifying whether KOLs have posted on time, tracking engagement, and ensuring compliance is inefficient.</li><li>Payment Bottlenecks – Delayed or incorrect payments due to manual approval processes create friction in collaboration.</li></ol><h2>Solution</h2>Develop an AI-powered KOL automation agent that streamlines the entire campaign workflow from outreach to payment:<ol><li>KOL Outreach &amp; Communication&nbsp;</li></ol> 1.1 Automated Email &amp; DM Outreach:&nbsp;<ul><li>Identify and reach out to KOLs based on predefined criteria.</li><li>Send personalized campaign details &amp; collaboration requests via email or DM.</li></ul> 1.2 AI Follow-Ups: Automatically remind KOLs to submit their drafts, revisions, and final posts.<ol start="2"><li>Content Tracking &amp; Validation&nbsp;</li></ol> 2.1 Draft Collection &amp; Approval: Automatically collect and organize submitted drafts for review. 2.2 Post Tracking:&nbsp;<ul><li>Monitor when KOLs publish their content.</li><li>Verify post links and check for required hashtags, mentions, or tags.</li><li>Analyze engagement metrics (likes, comments, shares).</li></ul><ol start="3"><li>Payment Automation&nbsp;</li></ol> 3.1 Post Verification Before Payment:&nbsp;<ul><li>Ensure KOLs meet campaign requirements before releasing payments.</li><li>Detect fraudulent activity or missing deliverables.</li></ul> 3.2 Auto-Process Payments:&nbsp;<ul><li>Initiate crypto or fiat payments based on contract terms.</li><li>Integrate with payment platforms (e.g., USDT, PayPal, bank transfers).</li></ul><h2>Execution &amp; Delivery</h2><ul><li>Dashboard for campaign tracking (status updates, reminders, approvals).</li><li>API integration with social media platforms and payment providers.</li><li>Custom AI chat agent for handling real-time KOL communication.</li></ul>

KOL Campaign Management AI Agent

<h5>Problem</h5>Currently, text input is limited to keyboard typing, which can be inefficient and inconvenient for users who prefer voice input.<h5>Solution</h5>Implement a voice chat feature that allows users to speak and have their speech converted into text for message input.<h5>Why</h5><ul><li>Enhances accessibility and convenience for users who prefer or require voice input.</li><li>Improves efficiency by enabling hands-free interaction, reducing the time needed to type messages.</li></ul>

Voice Input for Messages

<a target="_blank" rel="noopener noreferrer nofollow" class="link" href="https://protocol.zapper.xyz/">https://protocol.zapper.xyz/</a>

Integrate Zapper - The Ultimate Onchain Data API

Questflow

<h3>Persona</h3>Product Manager / Community Lead / Indie Builder Motivated to build better products by staying close to early users, but lacks time and structure to consistently collect and prioritize user feedback across public platforms like Twitter/X.<h3>Problem</h3>Users often reply to product announcement or update tweets with complaints, bugs, or feature suggestions. However:<ul><li>These replies are scattered, unstructured, and hard to track.</li><li>Valuable feedback often gets buried or missed.</li><li>There's no quick way to prioritize input based on who said it (e.g. power users, influencers).</li><li>Teams lack a systematic way to turn replies into actionable insights.</li></ul><h3>Solution</h3>Build an Auto-Request Feedback agent that works as follows:<ol><li>Trigger: After a product update or prompt tweet is posted, the system automatically tracks replies and quote tweets.</li><li>Collection: Gathers all relevant user replies containing feedback, suggestions, or complaints.</li><li>Prioritization:<ul><li>Uses engagement metrics (likes, retweets) and user metadata (follower count, prior interactions) to rank replies by influence and relationship.</li></ul></li><li>Processing:<ul><li>Clusters similar feedback.</li><li>Identifies themes (e.g. bugs, usability, feature request).</li></ul></li><li>Output:<ul><li>Generates an actionable report with:<ul><li>Ranked list of user feedback</li><li>Suggested product responses or actions</li><li>Option to one-click reply or acknowledge in-thread.</li></ul></li></ul></li></ol>

Auto-Request Feedback

<h3>Persona:</h3>Thought leaders, and community managers looking to stay active and engaging on X without spending hours manually interacting.<h3>Problem:</h3>Maintaining a consistent and authentic presence on X is essential for growth, but:<ul><li>Writing thoughtful replies and quote tweets is time-consuming</li><li>Engagement drops during busy periods</li><li>Outsourcing social interaction risks losing brand voice and authenticity</li></ul><h3>Solution:</h3>Smart-Style Social Engagement Bot keeps your social voice active and on-brand by:<ul><li>Learning your unique tone and style from past posts</li><li>Drafting smart, context-aware replies, likes, and quote tweets</li><li>Letting you review and approve scheduled interactions in one place</li></ul>

Smart-Style Social Engagement Bot

<h3>Persona:</h3>Community managers, product teams, and project founders who need to stay on top of fast moving conversations and sentiment across multiple platforms to make timely decisions and improve engagement.<h3>Problem:</h3>Important feedback, trends, or sentiment shifts often get buried across fragmented channels like Twitter, Discord, Telegram, and onchain activity. Manually monitoring and summarizing this data:<ul><li>Takes too much time</li><li>Requires context switching</li><li>Risks missing key signals that could impact product or comms strategy</li></ul><h3>Solution:</h3>Cross-Channel Community Digest automates intelligence gathering by:<ul><li>Scraping Twitter, Discord, Telegram, and on-chain events</li><li>Analyzing sentiment and extracting engagement metrics</li><li>Generating a concise, actionable brief with a pre-drafted summary ready for internal reports or public updates</li></ul>

Cross-Channel Community Digest

<h4>Objective</h4>Develop an AI-powered agent that can complete tasks on behalf of users when integrated services do not provide sufficient APIs. Specifically, this agent will automate form-filling within web browsers, ensuring a seamless and efficient user experience.<h4>Key Features</h4><ol><li>Automated Form Completion<ul><li>Detects input fields on web pages dynamically.</li><li>Identifies required information based on field labels and context.</li><li>Auto-fills forms using predefined or dynamically extracted data.</li></ul></li><li>Smart Data Extraction &amp; Interpretation<ul><li>Scrapes relevant data from available sources (e.g., user databases, past inputs, or web content).</li><li>Uses AI/LLM-based reasoning to determine the most appropriate values.</li></ul></li><li>Customizable Rules &amp; User Overrides<ul><li>Allows users to define rules for auto-filling specific fields.</li><li>Provides an option for manual verification before submission.</li></ul></li><li>Cross-Website Compatibility<ul><li>Works on multiple websites, even those without structured APIs.</li><li>Uses computer vision and NLP techniques to understand form layouts.</li></ul></li></ol><h4>Expected Impact</h4>This AI agent will significantly reduce manual effort in repetitive form-filling tasks, improving productivity and minimizing human errors in web-based workflows.

Web-Based Form Auto-Fill Agent

AI Agent Reimbursement

<h2>Problem Statement</h2>Reviewing and processing documents manually leads to inefficiencies, errors, and delays. Automating document validation can improve accuracy and speed.<h2>Why This is Needed</h2><ol><li>Manual Review is Error-Prone – Large volumes of data increase the chance of oversight.</li><li>Verification is Time-Consuming – Checking reports and validating information slows down operations.</li><li>Compliance &amp; Auditability – Ensuring adherence to policies and regulations is crucial.</li></ol><h2>Solution</h2>Develop an AI-powered document processing agent that automates verification:<ul><li>Form &amp; Document Analysis: Extracts and processes data from spreadsheets, Word documents, and PDFs.</li><li>Automated Auditing:<ul><li>Cross-checks reports and validates against predefined requirements.</li><li>Detects inconsistencies and compliance issues.</li></ul></li></ul>

Automated Document Processing & Review Agent

<h5>Problem</h5><ol><li>Managing chats is challenging due to the lack of options to delete, rename, or archive them, leading to clutter and difficulty in finding important conversations. </li><li>Additionally, when submitting a task request, the system floods the project chat with execution messages, making it harder to focus on relevant discussions.</li></ol><h5>Solution</h5><ol><li>Add options to delete, rename, and archive chats to improve organization and accessibility.</li><li>Optimize task execution message handling by reducing unnecessary notifications in the project chat.</li></ol><h5>Why</h5><ul><li>Prevents chat clutter and allows users to manage conversations more effectively.</li><li>Helps users quickly locate important discussions without being overwhelmed by excessive messages.</li><li>Reducing redundant execution messages enhances clarity and focus, ensuring that only relevant information is displayed.</li></ul>

Planned

Enhanced Chat Management & Task Execution Message Optimization

Build “xxxx xbt,” a high-quality, AI-powered digital sidekick that can scale author's ability to support builders by providing advice, microgrants, and qualified introductions, with real-time learning, multi-platform access, and a review dashboard.

Jesse from Base: Birth xbt, a digital sidekick agent

<h3>Persona</h3>Crypto Trader / On-Chain Analyst / Project Founder Wants to monitor key token contracts to track investor behavior, market sentiment, and unusual activity—but lacks time or tools to analyze on-chain data consistently.<h3>Problem</h3>On-chain activity around a token contract can signal critical shifts (e.g., whale moves, sudden sell-offs), but:<ul><li>Manually checking dashboards (e.g., Etherscan, Dune) is time-consuming.</li><li>Insights are often buried in raw data.</li><li>There's no lightweight, daily digest summarizing contract-level trends.</li><li>Missed movements can lead to delayed decisions or missed opportunities.</li></ul><h3>Solution</h3>Create a Daily Contract Pulse agent that delivers concise, high-signal summaries for any token contract. Workflow:<ol><li>User submits a contract address (via UI or bot).</li><li>System tracks and analyzes contract activity daily.</li><li>Daily digest includes:<ul><li>Buy/sell volume breakdown</li><li>Whale movements (e.g., top 10 wallets accumulating/distributing)</li><li>Holder delta (net new holders)</li><li>Standout transactions (e.g., large swaps, smart contract interactions)</li></ul></li><li>Delivery options:<ul><li>Email / Telegram / In-app</li><li>Optional webhook or Notion export (for teams)</li></ul></li></ol>

Daily Contract Pulse

<h3>Persona:</h3>Crypto project founders or marketing leads who want to incentivize community engagement and loyalty through regular airdrops without spending excessive time on manual tracking, reward distribution, or community updates.<h3>Problem:</h3>Manually managing airdrops is time consuming and error prone. Teams often need to:<ul><li>Export top token holder data from on-chain explorers</li><li>Manually batch and distribute rewards</li><li>Write Twitter threads or announcements to maintain transparency</li></ul>This process lacks automation, increases operational risk, and slows down engagement.<h3>Solution:</h3>Autonomous Airdrop Manager automates the entire airdrop lifecycle:<ul><li>Takes weekly snapshots of top-N token holders</li><li>Batches and sends airdrop rewards automatically</li><li>Publishes a live, auto-updated Twitter/X thread explorer to ensure transparency and real-time community engagement</li></ul>

Autonomous Airdrop Manager

Description: Introduce an onboarding guide or walkthrough to assist newly registered users in quickly understanding the platform’s interface, core features, and basic operations.Reason: A guided onboarding experience will reduce the learning curve for new users, improve initial engagement, and enhance overall user satisfaction.Suggested Features:<ul><li>Step-by-step tutorial or interactive walkthrough upon first login</li><li>Tooltips or highlights for key functions</li><li>Option to revisit the guide from the user menu</li></ul>

New User Onboarding Guide

Customer: <ul><li>David, a talented designer who is good at prompting logos using Open AI image model. </li></ul>Problem: <ul><li>How to easily create an AI Swarm using different prompts and integrate AI model easily </li><li>How to launch it to get wide distribution</li><li>How to get early support from others to keep funding the AI agent </li></ul>Solution: <ul><li>Leveraging QDP to create, deploy, distribute even potentially tokenize the AI Swarm</li><li>Earn the 1st 10k by prompting onchain. </li></ul>

High Priority

David: Launch AI Swarm for WWDC Logo Design and Earn on Questflow

We want to create an AI agent like <a target="_blank" rel="noopener noreferrer nofollow" class="link" href="http://11x.ai">11x.ai</a> to help us sell our products to business clients and ask them to pay stablecoin on-chain. Problem: <ul><li>Most AI Sales Agents can’t receive payments or explain the business product well. </li></ul>Solution <ul><li>AI Sales Agent Copilot on-chain <ul><li>Sell our product (MCN for KOLs on TikTok) </li><li>Receive stablecoin</li><li>Inform sales team to follow up</li></ul></li></ul>

Onchain AI Sales Agent

<a target="_blank" rel="noopener noreferrer nofollow" class="link" href="https://x.com/browser_use">https://x.com/browser_use</a> Agentic workflow automation looks cool. However most of the workflow requires some kinda of access to the website. I would love to integrate browser use into the product to access the website.

Browser use agent

We've created this space for you to share your ideas, report bugs, suggest improvements, or simply connect with us. Your feedback is invaluable in helping us enhance Questflow.Drop your message here—we review every submission carefully and will keep you updated on our progress. Let’s build Questflow great together! 🚀Questflow

Completed

Welcome to Questflow

<h3>Persona</h3>Independent developers, AI/automation enthusiasts, and solution builders who want to contribute to and benefit from the AI agent economy. They are technically capable but seek a streamlined way to build, deploy, and monetize agents or agent-based applications within a larger ecosystem.<h3>Problem</h3>Currently, there is no dedicated platform that allows these builders to easily create, configure, and publish their own AI agents, tools, or agent swarms (multi-agent workflows) in a way that integrates seamlessly with Questflow’s orchestration layer. This limits innovation, slows down ecosystem growth, and creates a bottleneck in scaling use cases and onboarding new contributors.<h3>Solution</h3>The Questflow Builder Platform will empower builders to independently create, test, and deploy tools, agents, and multi-agent swarms—without relying on core team intervention. This platform will:<ul><li>Offer modular and reusable components for building agents and tools</li><li>Provide templates and a visual interface for configuring multi-agent swarms</li><li>Include publishing tools to contribute to the Questflow marketplace/ecosystem</li><li>Integrate with Questflow’s orchestration protocol and economic layer for monetization</li><li>Enable versioning, collaboration, and testing environments for faster iteration</li></ul>

Questflow Builder Platform

We need to update the website to unify the design style and establish a consistent theme that can be used for future development. The updated site should clearly convey the core concept of the AI Agent Economy, highlight the structure of the Multi-Agent Orchestration Protocol, and prominently feature Questflow’s products, customers, and vision.

Website Update

Response times and system efficiency are critical for a smooth experience. I’d love to optimize processing speed, enhance workflow execution, and improve overall stability to make interactions faster and more seamless!

Improved Response Efficiency & Optimization

<h2>Problem Statement</h2>Manually managing social media interactions is time-consuming, and missing key mentions or trends can reduce engagement. Automating responses, trend analysis, and user interactions improves efficiency and brand presence.<h2>Why This is Needed</h2><ol><li>Real-Time Engagement – Responding quickly to mentions and trends is critical for visibility.</li><li>Scalability – Manually liking, replying, and following users is inefficient for large accounts.</li><li>On-Chain Social Actions – Some interactions require blockchain-based transactions, like airdrops or tipping.</li></ol><h2>Solution</h2>Develop an AI social media agent that automates engagement:<ul><li>Automated Twitter/X Actions:<ul><li>Detect @ mentions and reply based on sentiment analysis.</li><li>Auto-like, retweet, or follow relevant users.</li><li>Execute on-chain actions, such as sending token rewards.</li></ul></li><li>Trend Monitoring: Track emerging discussions and proactively engage with relevant posts.</li></ul>

AI-Powered Social Media Engagement

Problem StatementThe Web3 ecosystem evolves rapidly, with critical updates coming from multiple sources, including blockchain data, investor insights, and community discussions. Manually tracking and analyzing this fragmented information is inefficient and often leads to missed opportunities.Why This is Needed<ol><li>Decentralized Information Flow – Web3 news is scattered across various platforms, making it difficult to consolidate insights.</li><li>Time Sensitivity – Key updates (e.g., large token transfers, KOL announcements, governance changes) require quick action.</li><li>High Signal-to-Noise Ratio – Many sources generate excessive content, making it hard to filter out the most important updates.</li></ol> SolutionDevelop an AI-powered Web3 news aggregation agent that:<ol><li>Collects Web3-related news &amp; insights from diverse sources:</li></ol><ul><li>Research Platforms: Kaito, Alphi</li><li>Blockchain Data: Etherscan, Dune, Cielo</li><li>Official Updates: Direct sources from crypto projects</li><li>Community Discussions: Discord, Twitter</li><li>Investor Insights: VC websites, fund announcements</li><li>On-Chain Activity: Large token transfers, frequent transactions of tracked tokens</li></ul><ol start="2"><li>Processes and filters relevant news to detect important events and trends.</li><li>Generates concise summaries with categorized insights, including:</li></ol><ul><li>Project updates (token launches, governance decisions)</li><li>Market trends (funding rounds, major trades)</li><li>On-chain activity alerts (whale movements, smart contract interactions)</li></ul><ol start="4"><li>Delivers reports to preferred channels such as:</li></ol><ul><li>Email (Daily/weekly digests)</li><li>Telegram (TG) (Real-time alerts, group updates)</li><li>Other Tools (Slack, Notion, API for integrations)</li></ul>

Web3 News Aggregation Agent

Problem StatementWith the rapid advancements in AI, staying updated on the latest trends, research, and product launches is essential. However, AI-related news is scattered across multiple platforms. Manually tracking, filtering, and summarizing relevant updates is time-consuming and inefficient.Why This is Needed<ol><li>Information Overload: Too many sources, making it hard to keep track of key developments.</li><li>Time-Consuming: Manually collecting, filtering, and summarizing news requires significant effort.</li><li>Lack of a Centralized Source: No single tool effectively aggregates AI news from diverse platforms into digestible insights.</li></ol>SolutionDevelop an AI-powered news aggregation agent that:<ol><li>Collects AI-related news from multiple sources (Reddit, Product Hunt, GitHub, Twitter, etc).</li><li>Analyzes and filters relevant content, generates summaries.</li><li>Delivers insights to users through their preferred channels:&nbsp;3.1 Email (Scheduled or on-demand reports)3.2 Telegram (TG) (Automated updates to groups or users)3.3 Other Tools (Slack, Discord, Notion, or API integration for customized workflows)</li></ol>