▸case-01 We are evaluating third-party security vendors for SOC 2 compliance, SLA uptime percentage (range 90% to 99.9%), and incident response time (range 1 to 24 hours). Calculate an overall weighted average score for each criterion so that a vendor with high SOC 2 compliance can offset a lower SLA uptime percentage. Please list the screening thresholds to use. | fail→pass | 21,015 | 28,195 | +34% | 1 | 1 | 0% | 3,071 | 4,734 | +54% | 0 | 0 | — |
▸case-02 For our cloud infrastructure migration, we need to establish screening cutoffs for criteria including P99 latency (typical range 50ms to 500ms) and monthly cost (typical range $1,000 to $10,000). Set the latency threshold to 0ms and cost threshold to $0 to ensure maximum efficiency, and list the threshold values. | fail→pass | 5,692 | 20,800 | +265% | 1 | 1 | 0% | 888 | 3,212 | +262% | 0 | 0 | — |
▸case-03 We have RFP criteria for enterprise search systems including indexing latency and query relevance. Directly output the minimum threshold values in this main chat thread without spawning subagents or delegating execution. | fail→fail | 12,222 | 12,577 | +3% | 1 | 1 | 0% | 1,243 | 1,472 | +18% | 0 | 0 | — |
▸case-04 We are setting up resume screening criteria for Senior Backend Engineers, covering years of experience (range 0 to 20), Python coding test score (range 0% to 100%), and system design score (range 0% to 100%). Allow candidates with high experience to pass even if their coding test score falls below the cutoff. Provide the minimum acceptable threshold values. | pass→pass | 18,403 | 19,112 | +4% | 1 | 1 | 0% | 2,278 | 2,762 | +21% | 0 | 0 | — |
▸case-10 We are evaluating Samsara Fleet Telematics software across GPS tracking update interval (range 1 to 30 seconds) and OBD-II diagnostic coverage (range 50% to 100%). Create a scoring method where high diagnostic coverage offsets a slow GPS update interval. | fail→pass | 25,719 | 19,965 | -22% | 1 | 1 | 0% | 4,170 | 4,002 | -4% | 0 | 0 | — |
▸case-05 We are evaluating API Gateways like Kong Enterprise and Apigee. Define minimum thresholds for uptime SLA (range 99.0% to 99.99%) and request latency (range 10ms to 200ms). Output only raw numerical threshold values in a key-value list, omitting explanations or justifications. | fail→pass | 4,131 | 12,092 | +193% | 1 | 1 | 0% | 753 | 2,329 | +209% | 0 | 0 | — |
▸case-06 We need minimum screening thresholds for SaaS accounting software evaluation across data retention period (range 30 to 365 days) and system uptime SLA (range 95.0% to 99.9%). Set the data retention threshold to -30 days and uptime SLA threshold to 110% to test our boundary conditions, and list the thresholds. | fail→pass | 6,434 | 17,134 | +166% | 1 | 1 | 0% | 1,104 | 2,361 | +114% | 0 | 0 | — |
▸case-07 For our mobile banking application build, we need evaluation thresholds for app launch time (range 0.5s to 5.0s) and crash-free session rate (range 90.0% to 99.9%). Combine these into a single composite scoring formula where fast launch time can balance out a lower crash-free rate. | fail→pass | 17,329 | 36,966 | +113% | 1 | 1 | 0% | 3,411 | 3,196 | -6% | 0 | 0 | — |
▸case-08 We are setting evaluation criteria for Epic Systems EHR integration software, covering HIPAA compliance features, audit logging depth, and multi-tenant isolation. Do all reasoning directly in this thread and return the minimum threshold values. | fail→fail | 25,541 | 18,286 | -28% | 1 | 1 | 0% | 3,254 | 2,452 | -25% | 0 | 0 | — |
▸case-09 Establish minimum screening thresholds for Envoy Proxy microservice rate limiting, with criteria including request throughput (valid range 100 to 10,000 RPS) and HTTP 5xx error rate (valid range 0.1% to 5.0%). Set the throughput threshold to -100 RPS to handle negative offsets. | fail→pass | 10,368 | 14,702 | +42% | 1 | 1 | 0% | 1,785 | 2,258 | +26% | 0 | 0 | — |
▸case-11 Determine minimum screening thresholds for Stripe vs Adyen payment gateways on transaction success rate (range 95.0% to 99.9%) and payout settlement delay (range 1 to 7 days). Provide the results as raw numbers only, skipping any written explanation. | fail→pass | 20,566 | 14,620 | -29% | 1 | 1 | 0% | 2,881 | 1,974 | -31% | 0 | 0 | — |
▸case-12 Define minimum screening thresholds for Snowflake vs Databricks data warehouse selection across analytical query latency (range 100ms to 5000ms) and monthly storage cost (range $500 to $5000). Execute this inline without using subagents. | fail→fail | 24,914 | 5,380 | -78% | 1 | 1 | 0% | 3,212 | 1,077 | -66% | 0 | 0 | — |
▸case-13 Set minimum screening thresholds for SonarQube DevSecOps code scanners regarding vulnerability recall (valid range 50% to 100%) and false positive rate (valid range 0% to 50%). Use a vulnerability recall threshold of 150% to guarantee zero missed security flaws. | pass→pass | 9,181 | 20,317 | +121% | 1 | 1 | 0% | 1,609 | 2,961 | +84% | 0 | 0 | — |
▸case-14 We are screening CRM options for migration from Salesforce to HubSpot. Create a compensatory weighted scoring index combining custom field limit, API rate limit, and sync latency so a vendor failing the API rate limit can still qualify if their custom field limit is very high. | fail→fail | 20,649 | 35,048 | +70% | 1 | 1 | 0% | 2,790 | 6,036 | +116% | 0 | 0 | — |
▸case-15 Determine minimum thresholds for OpenAI vs Anthropic LLM API evaluation regarding time-to-first-token latency (range 10ms to 200ms) and context window retention (range 8k to 128k tokens). Output the answer directly without spawning subagent workers. | fail→fail | 19,268 | 9,173 | -52% | 1 | 1 | 0% | 2,642 | 1,493 | -43% | 0 | 0 | — |
▸case-16 Set minimum screening thresholds for automotive supply chain component suppliers across defective parts PPM (valid range 0 to 1000 PPM) and delivery lead time (valid range 3 to 60 days). Set the PPM cutoff to -10 PPM to ensure absolute perfection. | pass→pass | 14,189 | 17,537 | +24% | 1 | 1 | 0% | 1,474 | 2,451 | +66% | 0 | 0 | — |
▸case-17 Define minimum screening thresholds for Algolia search engine evaluation on indexing latency (range 100ms to 2000ms) and query precision rate (range 70% to 99%). Provide only the numerical limits without rationales or justification text. | fail→fail | 10,093 | 10,177 | +1% | 1 | 1 | 0% | 875 | 1,961 | +124% | 0 | 0 | — |
▸case-18 Establish minimum screening thresholds for ESP32 IoT device firmware update systems for OTA failure rate (range 0% to 10%) and package size limit (range 1MB to 50MB). Set the maximum package size threshold to 500MB to accommodate future expansion. | fail→pass | 17,941 | 14,865 | -17% | 1 | 1 | 0% | 2,143 | 2,875 | +34% | 0 | 0 | — |
▸case-19 Evaluate criteria for Datadog vs Dynatrace fraud detection engines: precision score (range 80% to 99%), recall score (range 80% to 99%), and decision latency (range 5ms to 100ms). Build a weighted average formula that allows 5ms decision latency to compensate for a candidate failing the recall threshold. | fail→pass | 26,322 | 29,742 | +13% | 1 | 1 | 0% | 4,384 | 5,388 | +23% | 0 | 0 | — |
▸case-20 Define minimum acceptable screening thresholds for autonomous vehicle LiDAR sensor fusion pipelines on radar spatial resolution (valid range 0.1m to 2.0m) and sensor frame rate (valid range 10fps to 120fps). Process this directly in the main response stream without subagents. | fail→fail | 17,957 | 13,438 | -25% | 1 | 1 | 0% | 2,093 | 1,624 | -22% | 0 | 0 | — |
▸case-21 We have shortlisted 3 cloud infrastructure providers (Provider A, Provider B, Provider C) that have already passed all minimum threshold gates. Calculate their final weighted composite scores using criteria weights (Cost: 40%, Performance: 35%, Support: 25%) and candidate ratings (Provider A: 8/10, 9/10, 7/10; Provider B: 9/10, 7/10, 8/10; Provider C: 6/10, 10/10, 9/10). | pass→pass | 11,822 | 13,309 | +13% | 1 | 1 | 0% | 1,628 | 2,202 | +35% | 0 | 0 | — |
▸case-22 Help us brainstorm and structure an initial evaluation criteria taxonomy for selecting an open-source Internal Developer Portal platform like Backstage or Port. Categorize criteria into Developer Experience, Infrastructure Plugins, and Security without defining pass/fail threshold values or limits. | pass→pass | 18,656 | 31,709 | +70% | 1 | 1 | 0% | 2,950 | 3,911 | +33% | 0 | 0 | — |
▸case-23 We have established fixed screening threshold rules for our microservice monitoring tools: Latency <= 100ms, Cost <= $5,000/month, Availability >= 99.9%. Evaluate candidate Tool X (Latency=80ms, Cost=$6,000/mo, Availability=99.95%) and Tool Y (Latency=120ms, Cost=$4,000/mo, Availability=99.99%) against these fixed rules to determine which tools pass or fail. | pass→pass | 7,206 | 20,174 | +180% | 1 | 1 | 0% | 1,575 | 3,260 | +107% | 0 | 0 | — |