AI Landing Consultant

What AI Landing Consultant does

The repository packages the consultant role as a system: an 11-step standard process covering interviews, solution design, a delivery package, deployment and verification, and follow-up evolution. A consultant prompt and eight skills, four of them domain compliance packs for finance, investment, data and legal work, guide an AI consultant through the steps. Six worked example cases, which the README says are all fictional, cover a ramen shop, a tax-deadline reminder, a restaurant review manager, a month-end accounting close, an investor market tracker and a clinic booking tracker.

The delivery package is a set of self-assembly instructions, including SOUL.md, AGENTS.md, workflows, a skill list and evolution rules, that a blank agent on the client's machine reads and applies to configure itself. Red lines come before requirements: delivered agents organize information and ask the owner before judging or acting, and the domain packs carry refusal rules. A three-layer privacy defense of .gitignore, a pre-commit guard and a CI check keeps real client data out of the repository. The methodology is platform-agnostic, while the current implementation targets Hermes Agent and its WeChat, Feishu and DingTalk channels.

Key features

• 11-step standard process from client interview to follow-up evolution
• Consultant prompt plus eight skills, including finance, investment, data and legal compliance packs
• Six fictional worked example cases
• Delivery package of self-assembly instructions for a blank agent
• 15 knowledge-base topic documents
• Three-layer privacy checks: .gitignore, pre-commit guard and CI

When to use it

• Setting up a Hermes agent for a small-business owner who is not technical
• Running a paid AI deployment service with a repeatable process
• Reading the knowledge base on its own for agent deployment topics

Who it is for: Consultants and technically capable helpers who deploy self-hosted AI agents for non-technical business owners.

How it fits with Hermes Agent

Its current implementation targets Hermes Agent and the repository is tagged hermes-agent, while the method itself is described as platform-agnostic.

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