What this service covers
DappWeb builds AI-agent-connected DApps with tool calling, RAG, approvals, wallet or chain data access, monitoring, evals, and audit logs. The scope can include product architecture, user journeys, contract or program integration, backend APIs, event indexing, admin dashboards, observability, deployment verification, and operating documentation.
Best-fit projects
AI-native Web3 products, internal copilots, support agents, data agents, and supervised automation.
Engineering decisions
- Define the primary user journey, permission model, and irreversible actions for the AI-agent DApps product.
- Separate on-chain logic, off-chain services, data indexing, admin operations, and recovery responsibilities.
- Set measurable acceptance criteria for security, wallet UX, observability, and production handoff.
Inputs required for scope
- User roles, target chains, wireframes or workflows, contract requirements, integrations, and repository status.
- Launch deadline, compliance constraints, operating team, expected usage, and incident escalation path.
Acceptance evidence
- Traceable implementation commits, interface and API tests, contract or program test results, and QA evidence.
- Deployment verification, admin-control review, monitoring setup, and an operator handoff checklist.
Constraints and operating risks
A AI-agent DApps engagement should explicitly control wallet failure states, privileged actions, data consistency, third-party dependencies, and post-launch ownership.
Security and compliance boundary
DappWeb provides technical services only: software development, smart contract review, analytics infrastructure, AI workflow implementation, and cloud operations. DappWeb does not manage client assets, provide investment advice, operate an exchange, or guarantee market outcomes.
Buyer questions
What is included in a AI-agent DApps build?
Scope can include product architecture, wallet flows, contracts or programs, frontend and backend implementation, indexers, dashboards, testing, security review, deployment, and operator handoff.
How is a AI-agent DApps project accepted?
Acceptance should use agreed user journeys, repository commits, automated tests, deployment receipts, permission checks, monitoring evidence, and documented operational ownership.