C-Plan
Smart Wallet Automation Made Simple
About
The problem it solves # **C-PLAN: Complex DeFi Strategy Management Made Simple** --- ### The Problem 🚧 **Traditional DeFi is complex and time-consuming.** Users must: * Manually monitor market movements * Execute transactions at optimal times * Manage multi-step strategies across multiple protocols This complexity creates barriers for both new and experienced users. --- ### The Solution ✅ **C-PLAN** enables users to describe investment goals in plain English like: > *"Buy \$100 worth of ETH every week when the price drops below \$2000."* C-PLAN converts these goals into autonomous, on-chain execution using a **hybrid agent model** powered by **Chainlink Functions, Automation, and ElizaOS agents**. --- ## Safe & Non-Custodial Automation 🔒 **Problem:** Most automation tools require depositing funds into centralized platforms — increasing security risks and trust dependency. **C-PLAN’s Solution:** * 100% **non-custodial** * Funds stay securely in your wallet * Strategies are executed via **trustless smart contracts** * You maintain **full control** over your assets > C-PLAN leverages **Chainlink Functions** and **on-chain ElizaOS agents** to process intents and execute securely — without ever holding your funds. --- **C-PLAN’s Solution:** * Uses **Chainlink Automation (Upkeep)** to monitor on-chain conditions * Executes trades at **precise, optimized times** * **Batches operations** to reduce transaction costs * Designed for **efficiency** in strategies like dollar-cost averaging > Every strategy is evaluated continuously using **Chainlink’s decentralized automation**, minimizing costs and maximizing timing accuracy. --- ## AI-Powered Strategy Creation 🧠 **Problem:** Designing effective DeFi strategies requires deep technical knowledge. **C-PLAN’s Solution:** * Built on **ElizaOS**, a decentralized agent framework * Natural language interface converts user goals into smart contract logic * LLM agents collaborate with on-chain validators to create safe strategies * No code. No complexity. Just results. > Users simply **chat** with their planner. Eliza interprets, validates, and creates actionable DeFi plans — instantly. --- ## Unified Portfolio Management 📊 **Problem:** Tracking DeFi positions across platforms is fragmented and manual. **C-PLAN’s Solution:** * Single dashboard view of: * All active strategies * Execution history * Real-time portfolio performance * AI-generated **alerts and summaries** for complete visibility * Chainlink-powered data ensures up-to-date on-chain insights --- ## What You Can Use C-PLAN For 🚀 ### **Investment Automation** 🔁 * **Dollar-Cost Averaging** – Buy tokens at regular intervals * **Rebalancing** – Maintain target asset allocations * **Take-Profit / Stop-Loss** – Automatically trade based on price targets ### **DeFi Strategy Automation** ⚙️ * **Liquidity Management** – Adjust LP positions based on market conditions * **Staking Optimization** – Switch between staking protocols for best yields * **Arbitrage Execution** – Exploit price differences across DEXs ### **Risk Management** ⚠️ * **Conditional Alerts** – Get notified when conditions change * **Emergency Actions** – Auto-exit positions during volatility * **Diversification** – Automatically spread investments across assets ### **Recurring Operations** 🔄 * **Salary Streaming** – Convert payroll into crypto * **Crypto Bill Payments** – Schedule regular payments * **Savings Goals** – Allocate funds toward specific objectives --- ## How C-PLAN Makes DeFi Safer & Easier 🛡️ ### Eliminates Human Error ✔️ * No more missed opportunities * Emotion-free, consistent execution * Automated risk triggers avoid panic selling ### Reduces Gas Costs 🔽 * Chainlink Automation enables **smart batching** * Executes transactions during optimal fee windows * Efficient by design ### Increases Accessibility 🌍 * No technical DeFi knowledge required * Speak your strategy in plain English * ElizaOS agents translate it into optimized actions ### Provides Transparency 🔍 * All operations recorded **on-chain** * Full **audit trail** of every action * Open-source, **verifiable smart contracts** for trustless execution --- ## Behind the Scenes: How It Works ⚙️ * **ElizaOS LLM Agents** interpret user intents and validate strategies * **Chainlink Functions** handle off-chain logic like fetching price data * **Chainlink Automation** (Upkeep) ensures continuous on-chain condition checking * On trigger, strategies are executed automatically via the **C-PLAN smart contract** > It’s a seamless loop of user intent → AI interpretation → secure execution → receipt generation → transparency ## The Future of DeFi Automation 🌟 ### C-PLAN transforms DeFi from a fragmented, manual experience into an intelligent, autonomous system that: - Works 24/7 - Keeps your funds secure - Optimizes your strategies automatically - Makes advanced DeFi accessible to everyone
How it's made
Challenges we ran into # **Challenges I Faced Building C-PLAN** Building C-PLAN — an AI-powered, non-custodial wallet automation platform — wasn’t just about writing smart contracts or integrating APIs. It was about solving a series of interconnected challenges around blockchain reliability, AI interpretation, cross-chain compatibility, and user experience. Here are the biggest hurdles I ran into and how I overcame them: --- ### 🔗 **Keeping On-Chain and Frontend State in Sync** **The Challenge:** Managing the sync between blockchain state and frontend UI was a mess. Token balances would lag, transaction statuses were unreliable, and gas estimation errors sometimes broke everything silently. **How I Solved It:** I implemented a dual-state system — optimistic updates on the frontend paired with delayed sync from smart contracts. Every critical blockchain event triggered a soft cache invalidation using `TanStack Query`, which helped keep the UI responsive and accurate. --- ### 🤖 **Translating Natural Language Into Smart Contract Logic** **The Challenge:** Users could type strategies like *“Buy \$100 of ETH every week when it drops below \$2,000”*, but getting AI agents to consistently parse and execute those instructions correctly was tough. **How I Solved It:** I built a multi-step intent parser that extracts action, token, amount, frequency, and conditions. Each step included validation and sanitization before hitting the blockchain. I also improved context handling so multi-turn conversations made sense. --- ### 💾 **Data Persistence in Development** **The Challenge:** In early development, I used in-memory storage — so every time the server restarted, user data vanished. Not great for testing or debugging. **How I Solved It:** I implemented a hybrid storage system: memory + file-based JSON persistence in development mode. It was simple, effective, and didn’t require setting up a full database early on. --- ### 🎨 **Real-Time UI Updates and Complex State** **The Challenge:** The dashboard had to show live balances, active strategies, NFTs, and transaction history — all while staying performant and responsive on mobile. **How I Solved It:** I leaned heavily on `TanStack Query` for smart polling and cache control. I also cleaned up error boundaries, improved loading states, and kept layouts responsive even with multiple async data sources. --- ### 🧪 **Testing Blockchain Logic Without Real ETH** **The Challenge:** Testing real blockchain flows is slow and expensive. Waiting for confirmations or using testnets just didn’t scale. **How I Solved It:** I used Hardhat’s local blockchain with full scripting and simulation. It let me rapidly test strategies, state changes, and edge cases — and I built automated scripts to cover common flows. --- ### 🧠 What I Learned * Blockchain UX requires **deep state awareness** and **error recovery** at every step * AI + DeFi is powerful, but you need **strict validation layers** * Start simple — but **plan for cross-chain, multi-user complexity early** * **Test everything**, even what you think will “probably work” --- C-PLAN wasn’t just a DeFi automation tool — it became a deep exercise in systems design, user experience, and integrating unreliable infrastructure into something that feels smooth and trustworthy. Still building, still learning — but proud of how far it's come.