1. On-chain intelligence Agent: Monitors 24 hours a day but is not emotional
Scenario description
The biggest problem in Web3 is not the lack of information, but:
Too much information
Emotional interference is too strong
Humans cannot keep up
ClawdBot is very suitable as an on-chain intelligence officer.
Example 1: On-chain fund flow monitoring
You can configure it like this:
Agent responsibilities
You are my on-chain intelligence analyst
Responsible for monitoring:
Whale address
Newly deployed contracts
Large transfers
Abnormal Gas behavior
What will it do
Automatically grab on-chain data
Mark abnormal behavior
Generate 'summaries that humans can understand'
Only remind you when conditions are met
👉 What you see is not 'data', but the conclusions after judgment.
Two, Project Due Diligence Agent: Reduce the 'probability of stepping into a pit' to the lowest.
Scene Description
The easiest place for ordinary people to lose in Web3 is only one:
no time, no system, no patience to do due diligence.
ClawdBot is very suitable for being a calm, unemotional due diligence agent.
Example 2: Automatic Due Diligence Before New Project Launch
ClawdBot's task chain can be:
White Paper → Tokenomics → Team → Financing → On-chain Behavior → Risk Points
You just need one sentence:
This is a potential investment project,
Please complete the analysis according to my established due diligence template.
and clearly state: can participate / observe / avoid.
Key Points
Not being brainwashed by narratives
Not being driven by KOL emotions
Not getting extra points because of FOMO
👉 This is the first time ordinary people have 'institution-level calm.'
Three, DeFi Strategy Execution Agent: Execute only, do not hesitate
Scene Description
The biggest problem with people doing DeFi is:
Understood
Hesitated
Missed
ClawdBot is very suitable for being a rule-based executor.
Example 3: Automated Execution of Revenue Strategies
You can define:
When APY > X
and TVL is stable
and the contract has no abnormalities
Automatically execute strategies
and generate a review report after execution.
ClawdBot will not:
Greed
Fear
Change mind temporarily
👉 It only recognizes rules, not emotions.
Four, Airdrop & Incentive Agent: Outsource 'physical labor'
Scene Description
The essence of airdrops is:
Repetitive, tedious, easy to forget this is one of the tasks AI is best suited for.
Example 4: Airdrop Task Management
ClawdBot can:
Track potential airdrop projects
Decompose Task Paths
Record whether you have completed
Regular reminders of missed steps
What you get is not a 'tutorial,' but:
A continuously updated airdrop execution checklist.
Five, DAO Assistant: Ordinary people can participate in governance for the first time
Scene Description
Most people do not participate in DAO, not because they are not interested, but because:
Cannot understand, cannot keep up, no time.
ClawdBot can act as a private secretary for DAO.
Example 5: Proposal Interpretation + Voting Suggestions
ClawdBot can:
Track DAO Proposals
Translate into plain language
Refine Controversial Points
Provide impact analysis from different positions
👉 You are no longer 'the person who points to vote,'
but rather understand before voting.
Six, Content & Narrative Agent: Web3 Personal IP Amplifier
Scene Description
Narrative changes in Web3 are very fast:
Yesterday L2
Today AI
Tomorrow RWA
ClawdBot is very suitable for being a narrative radar.
Example 6: Narrative Trend Monitoring + Content Generation
You can let it:
Track X / Mirror / Forum
Capture Narrative Changes
👉 You are 'the person chasing trends,'
become 'the person who made it clear the earliest.'
Seven, Contract & Security Agent: Ordinary people's 'Security Department'
Scene Description
Safety is not losing money,
and do not die from low-level errors.
Example 7: Contract Risk Warning
ClawdBot can:
Check if the contract is upgradeable
Is there a concentration of permissions
Are there any abnormal functions
Is there a historical attack pattern
What you get is:
Risk Level + Explanation
rather than a pile of code you don't understand.
Eight, Web3 Project 'Digital Employee': The Key to a One-Person Team
Scene Description
Many early Web3 projects really lack:
PM
Research
Documents
Coordinate
ClawdBot can directly become:
Example 8: Web3 Project Operation Agent
It can:
Manage Tasks
Generate Weekly Report
Track Milestones
Output Investor Materials
👉 Externally you are 'one person,'
Internally you are a system.
The last word (very important)
The dividends of Web3 are shifting from 'information asymmetry' to 'system asymmetry.'
The significance of ClawdBot in Web3 is not to be smarter, but to let ordinary people have, for the first time, an execution system close to institutional level.