Users want to "get things done with one click", project parties want "low operational maintenance", and C achieves both: complexity is hidden in the routing, while the front-end experience is close to a single chain.

Transactions are broken down into four layers: intent parsing constrains costs and risks; path planning approximates the shortest path and avoids MEV; liquidity injection is allocated based on pool depth and price impact; the clearing and settlement layer produces receipts and consistency proofs. In case of anomalies, limit pricing and circuit breakers are activated, with funds rolling back and automatic retries in place to avoid users having to "chase orders by hand".

Dashboard metrics should be "business-oriented": long-tail path success rate, average retry count, duration of funds in transit, abnormal rollback time, distribution of failure reasons, and unit cost for each path. Use these numbers to guide scaling and parameter tuning, rather than relying on "social media feedback" and guesswork.

Suggestions: expose "path health" to partners as part of the SLA; establish a gray list to first release short paths and deep pools, then cover long tails; when anomalies accumulate to a threshold, trigger a combination of "split orders + change routes + delay budget". #Chainbase @Chainbase Official $C