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
Distributes different Skills, SOPs, and Rules by Coordinator / Worker visibility and by Agent class, skeleton, and purchased products
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
Compiles knowledge views into Skills, SOPs, and Rules; playbooks can declare protected sections that forks inherit and verify
Extracts structured Claims from documents, compiles them by topic into citable knowledge views, and scans for contradicting Claims
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
Write and assign SOPs, rules, skills, and personas in the workspace; content is stored in LarkScout
- 01Connect enterprise documents (web / files / Yuque / WeDrive / Feishu)
- 02Extract Claims and compile knowledge views
- 03Compile into Skills / SOPs / Rules
- 04Skills are confirmed and authorized by a human
- 05Deploy to Agent workspaces by role
- 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.
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