Use cases· Last updated 2026-09-21

Sales confidence thresholds with Jev

Opportunity stage and quote PDFs live in the CRM. Jev can set a picklist from unstructured notes: is this a next-step, a risk, a closed-won hint, a discount promise that violates policy? Workflows fire after the field write. Jev does not host the Opportunity.

This unofficial page is the confidence thresholds slice of the sales note labeling pack. Intent: apply the Jev (TypeSafe System One) decision model to sales note labeling confidence thresholds. Primary search language: Sales Jev confidence thresholds. Confirm patterns on docs.typesafe.ai. This site does not sell, issue, or proxy TypeSafe keys. Use a credential you already have from the console or a documented gateway.

Independent angle (cover ≠ clone): CRM owns objects and SLAs; Jev labels messy call/email notes (next step, risk, discount-policy). Weighted scores stay in code — apply the composite-scoring win (not a Salesforce-IA or lead-score recipe clone). Treat floors as production gates and price the false-reject cost — official 0.5/0.9 sketches are illustrations.

Sales use-case context

Thresholds turn sales note labeling answers into act / review / abstain. They are product policy, not a hyperparameter TypeSafe ships. Official 0.5 / 0.9 sketches are illustrations. This slice also carries the false-reject discussion: over-gating sales note labeling hides calibration.

Hub: Use cases. Compare, when the other tool is the real job: CRM workflows.

Confidence Thresholds inputs

You need (1) pinned answers on a frozen contract and (2) labels for label gold from managers, plus off-policy-discount gold. State shape:

{
  "note": { "id": "N-88", "text": "CFO asked for 30% off if we sign this week. Legal still redlining DPA." },
  "opp": { "stage": "negotiation", "list_discount_cap_pct": 15 },
  "policy": { "discount": "Promises above list_discount_cap_pct need deal-desk, not AE verbal." }
}

Decision signals and actions

FLOORS = {
    "write_picklist": 0.55,      # illustrations — replace
    "page_deal_desk": 0.85,
}
NOUL_TAU = 0.75  # for discount_violation

def allow(ans, action):
    return ans.confidence >= FLOORS[action]

Do not treat a Noul of 0.5 as a “medium” sales note labeling score — it means yes and no are equally likely. Conjunctions stay in your code.

Guardrails and escalation

TypeSafe’s confidence-gated examples use a lower bar for recoverable reads than for irreversible actions. Those numbers are illustrations. For sales note labeling, treat page_deal_desk as the high bar (paging deal-desk or sending a customer quote change). Tune on labels — see offline evaluation.

Band around 0.5 on discount_violation always reviews. Do not copy 0.75 onto Choice confidence.

Evaluation and rollout notes

• Missed verbal 30%-off notes on a planted set
• False deal-desk pages
• Write-back override rate

Fit loop: pin jev-1.13.0 → replay → plot error vs confidence → pick floors where auto-act error ≤ your SLA. Pin jev-1.13.0 (the versioned id) after you fit thresholds. jev-latest and the marketing line jev-1.13 can move. Log the response model. TypeSafe’s published list price for jev-1.13 is $0.042 per million input tokens (vendor claim — confirm on the models page); output tokens are free on that same page. Unused distractors still bill as input.

Official Python and JavaScript SDKs read TYPESAFE_API_KEY and retry documented 429/529. This site does not sell, issue, or proxy TypeSafe keys. Use a credential you already have from the console or a documented gateway.

Pack map

FAQ

Should page_deal_desk use 0.9 everywhere? No. Over-gating hides calibration and dumps the queue on humans. Fit per action.

Can I reuse a Noul τ as Choice confidence? No. Jaggedness: they are not interchangeable. See confidence.

Where is the rest of the Sales pack? Start with Sales decision workflow and Sales human handoff. Cluster hub: Use cases.

Is this the same as lead scoring? No. Lead scoring composites ICP/intent Scores. This pack labels notes on an existing Opp. Link them; do not merge slugs.

Can Jev update Amount? Not from language alone. Extract numbers in code; CRM math stays in the CRM.

What this page does not claim

• Not a CRM or CPQ product.
• No invented pipeline lift.
• Not official TypeSafe.
• Official TypeSafe status, or that jev.pro issues API keys.
• That a schema-constrained answer is automatically factually correct.

Disclaimer

This is an independent unofficial site and is not affiliated with TypeSafe AI; official documentation is available at https://docs.typesafe.ai.

Primary documentation: https://docs.typesafe.ai. Hub: Use cases.