HoneycombOS Tutor
Role-based guide for business operators onboarding agents and CFOs managing cost-quality performance.
Business Owner Track
Goal: onboard agent systems quickly, test safely, and ship only proven improvements.
List your active agents, their prompts, tools, and expected outcomes. If you have a GitHub repo, keep the URL ready for onboarding ingestion.
Paste or ingest a manifest, run validation, then build workspace. Confirm model profiles, skills, harness checks, and interaction graph are present.
Start simulation batches to stress test variants. Use mixed scenarios to expose script drift, tool misuse, and quality regressions before live traffic.
Use the review queue and governance gate. Human decision stays mandatory. Approve only when benchmark and safety gates pass.
Monitor outcome trends and skill stability after approved changes. Focus on pass rate lift, reduced critical regressions, and lower recontact rates.
CFO Track
Goal: reduce spend while preserving or improving quality outcomes and safety.
Use the CFO dashboard to identify expensive workflow tasks. Prioritize tasks with high volume and poor cost-per-quality efficiency.
Check which skills consume budget without quality gains. This highlights where prompt/skill/harness tuning should be funded first.
Set model profiles with explicit costs and switching candidates. Compare quality deltas against savings before approving model downgrades.
Require human approval for all promotions. Reject changes with any critical harness regression even if cost improves.
Review weekly model spend, pass rate, and top regressions. Approve targeted experiments, then re-evaluate after 7/14/30 day windows.
30-Minute Kickoff Checklist
- 1. Build first workspace in Onboarding (manifest v1.1).
- 2. Run a 100+ simulation batch with baseline and candidate variants.
- 3. Review top 3 regressions in Queue and Governance.
- 4. Confirm no critical harness regression before approval.
- 5. Check CFO dashboard for cost-per-quality impact after approval.
Core Terms
A capability to evaluate and optimize (for example script adherence, tool discipline, customer clarity).
A pass/fail or scored gate used to enforce quality and safety rules.
A typed link between model, prompt step, skill, harness check, tool, or outcome metric.
Human approval queue for proposed improvements. No auto-live deployment.
Simulation-first experiment engine that ranks variants using outcome-driven reward and safety constraints.