Harness Engineering

The layer around the model — which role an Agent plays, which enterprise institutions it must follow, and which knowledge it can use — decides whether it works reliably inside an enterprise. See how ReadyForAI engineers that layer.

Turn roles, institutions, and knowledge into a work environment that is ready before the Agent starts

  • Different Skills, SOPs, and Rules per Coordinator / Worker and Agent class; the role workspace is ready on delivery
  • LarkScout compiles enterprise documents into citable knowledge views, then packages them as Skills, SOPs, and Rules
  • Workers pull task context when work starts and Coordinators pull SOPs per action, so full SOP text stays out of the main config
  • Task context snapshots record the content versions visible at the time, so you can trace which version an Agent relied on
Every Agent needs hand-tuned prompts and toolsNew Agents take several rounds to become usefulSOPs and rules never reach the AgentsKnowledge changes, Agents keep the old versionNo record of which content an Agent relied on
Agent RolesHarnessServer

Distributes different Skills, SOPs, and Rules by Coordinator / Worker visibility and by Agent class, skeleton, and purchased products

Role WorkspacesHarnessServer

After delivery or approval the Workspace already holds the main config, deployed Skills, and a context index; generates CLAUDE.md / AGENTS.md / NODAL.md per framework

Enterprise InstitutionsLarkScout

Compiles knowledge views into Skills, SOPs, and Rules; playbooks can declare protected sections that forks inherit and verify

Knowledge CompilationLarkScout

Extracts structured Claims from documents, compiles them by topic into citable knowledge views, and scans for contradicting Claims

Knowledge DistributionHarnessServer

Workers pull a task context index when work starts; Coordinators pull SOPs per action signal instead of pre-loading full SOP text into the main config

Authoring & AssignmentAULO

Write and assign SOPs, rules, skills, and personas in the workspace; content is stored in LarkScout

  1. 01Connect enterprise documents (web / files / Yuque / WeDrive / Feishu)
  2. 02Extract Claims and compile knowledge views
  3. 03Compile into Skills / SOPs / Rules
  4. 04Skills are confirmed and authorized by a human
  5. 05Deploy to Agent workspaces by role
  6. 06Pull on demand at work time and record the content version

Start with one role — compile its SOPs and working knowledge, distribute them to the matching Agents by role, then replicate to other roles once the path works.

ProblemProductCapability
Every Workspace needs hand-configured prompts and toolsHarnessServerRole-based Workspace pre-provisioning — main config, deployed Skills, and context index are ready on delivery
One set of institutions must fit Claude Code, Codex, and other frameworksHarnessServerGenerates CLAUDE.md / AGENTS.md / NODAL.md per framework; the main config can embed shared sections and stay byte-stable
Plenty of documents, none usable by AgentsLarkScoutClaim extraction and knowledge view compilation; contradicting Claims are flagged for human review
SOPs and rules are written but not followedLarkScoutCompiled into Skills, SOPs, and Rules, then synced by HarnessServer to the right Agents by role visibility
No way to tell which content version an Agent relied onHarnessServerRecords the visible content set and versions when a task starts, and stamps the Content Version on traces
Agents repeat the same mistakesLarkScoutExperience feedback: Agent learning records are ingested, and Claim corrections are confirmed by humans

By role

Technology leaders

Institutions and knowledge are distributed by role, with per-framework context files and no changes to Agent code

Compliance & risk

Skills require human confirmation and authorization before deployment; tasks record the content versions visible at the time for later review

Business leaders

Role SOPs and experience become organizational assets that survive model and framework changes

SYSTEM READYintent/harness-engineering