---
title: "Builds: business ops and markets"
type: community
source_tier: community
tags: [builds, business, operations, advising]
created: 2026-10-04
updated: 2026-10-04
confidence: medium
sources: "26 files, listed under this page in https://jevwiki.ai/index.json (raw/ paths map to their URLs in https://jevwiki.ai/raw/MANIFEST.json); links are inline in the body"
jev_version: "jev-1.13.0"
summary: "Community builds for business operations (support, sales, recruiting, finance, risk) and market demos (engineering only): what Jev decides, numbers. Split from builds-apps 2026-10-04."
---

# Builds: business ops and markets

> **TL;DR** Community builds where Jev runs business operations (support and inbox routing, sales and lead scoring, recruiting, reconciliation, risk sweeps) plus market demos described as engineering only, never financial advice. Builders' own numbers, mostly one run; vendor rows marked. Split from [[ideas/builds-apps]] on 2026-10-04 (rows unchanged); data and search builds stay there.

## Business ops

| Build (builder) | Jev decides | Reported numbers | Pattern | Source |
|---|---|---|---|---|
| Fraud email cascade (Hassan, @nutlope) | Fraud vs legit; confidence < 0.95 escalates to Kimi K3 | 100 emails in 1.42 s; 31 escalated; pipeline 96/100 in 16 s for ~$0.07, of which Jev $0.003 | [[ideas/patterns-agents]] P06, [[patterns/confidence-routing]] | [post](https://x.com/nutlope/status/2100614659690713543) |
| Spliit Cloud expenses (Antonio Ivanovski) | Expense category from title: local dictionary, then group history, then *one* engine (LLM or Jev Choice); below `AI_CATEGORY_MIN_CONFIDENCE` (0.5) no suggestion; uncertain guesses shown as one-tap chips | none. README: pin `jev-1.13.0` once thresholds are tuned, `jev-latest` moves (`verified`, [[reference/models-and-pricing]]); LLM self-reported and Jev confidence are not on one scale, recalibrate when switching | [[ideas/patterns-agents]] P06, [[ideas/patterns-interface]] P34 | [repo](https://github.com/antonio-ivanovski/spliit-cloud) |
| Regex rules → Jev (Ilias Ism, @illyism) | Hard-coded rules (vibe-coded regex) replaced in aiseotracker, linkdr, genppt | "around 10x faster, 50% cheaper" than regular LLM calls (no method) | [[ideas/patterns-agents]] P01 | [post](https://x.com/illyism/status/2100489521557123265) |
| Backdoor job match (@sarvagya_kul) | Fit probability of one candidate for 400 companies; flags mismatches | 12 s, $0.0005. At list price that is ~11.9k input tokens, ~30 per company (our arithmetic: $0.0005 ÷ $0.042/Mtok, ÷ 400): only fits very short profiles; treat as approximate | [[ideas/patterns-business]] P19 | [post](https://x.com/sarvagya_kul/status/2100980770206879849) |
| ZipPad conversation on pujo.ai (@bblever) | Runs "the ZipPad conversation" on Jev; what Jev decides is not stated (Jev writes no text, so most likely it picks the next scripted step or reply; inferred) | @bblever reports every exchange ~10x faster and 38% cheaper per session; baseline not named, no method; 3 views at capture. Vendor claim, `unverified` | [[ideas/patterns-agents]] P01 (inferred) | [post](https://x.com/bblever/status/2105066227387514892), [site](https://pujo.ai) |
| Gojiberry outreach mining (@pierreeliottlal) | Labels thousands of outreach messages by intent signal; which signals booked demos (the tally is code, inferred) | 40 s, < $0.20 | [[ideas/patterns-data]] P18, [[ideas/patterns-business]] P20 | [post](https://x.com/pierreeliottlal/status/2100912453999587657) |
| jev-suite (klauswg) | Four Java apps on one kernel: did a sponsored video deliver the brief, where a candidate falls short, did an edit keep the facts, what to confirm about a rental listing. A three-way `NoulGate` (confident pass, confident fail, human review); outside text sanitised; model unreachable → review, never auto-pass; calibration runners refuse mock data | Raw Jev lost to a keyword baseline tuned on the same data; only the gated pipeline, abstaining on the unsure claims, beat it, after two v1 bugs were fixed; results and the report link on [[ideas/head-to-head]] | [[ideas/patterns-agents]] P06, [[ideas/patterns-business]] P23, [[ideas/patterns-emerging]] P41 | [repo](https://github.com/klauswg/jev-suite) |
| lurk (getanyapi-com, AnyAPI) | Reddit buyer-intent finder: title triage, only promising threads opened, then Jev (OpenRouter, or Vercel Gateway first if set) judges each post and comment: 0-100 score, intent stage, seller-side flag; never posts | **No Jev numbers.** Vendor demo for a paid data API. Its "Costs, measured" table is dated 2026-09-05, before Jev's 2026-09-15 launch, so its model column cannot be Jev (inferred): never cite it as Jev cost | [[ideas/patterns-business]] P19, P20 | [repo](https://github.com/getanyapi-com/lurk) |
| Volty smart filters ([@_voltade](https://x.com/_voltade/status/2105470189240221833), Voltade; **vendor**) | Does this WhatsApp or email conversation fit the user's filter, yes or no, with a probability (`Noul`, inferred) | 700 conversations: 5 min → 20 s ("15× faster"); ~0.25 s per check, so ~9 in flight (our arithmetic, inferred); cost per check on [[ideas/cost-ledger]]. No accuracy figures; video not transcribed. `unverified` | [[ideas/patterns-data]] P18, [[ideas/patterns-business]] P22 | [post](https://x.com/_voltade/status/2105470189240221833) |
| [mastra-inbound-router](https://github.com/withoneai/mastra-inbound-router) (One, withone.ai; [@calcsam](https://x.com/calcsam/status/2105408569294377241); MIT; **vendor** demo) | Shared inbox: one Jev request, four questions per email (category, machine-sent?, someone waiting?, urgency); ≥ 90% vendor or noise is filed without an LLM; the rest go to Claude, which must look the sender up in HubSpot, picks owner and drafts from a rules file; a person reviews when Claude is under 60% sure, names no owner, or Jev gives Claude's category under 20%. Mastra workflow suspends until a person ticks each action; Gmail send scope left off, so replies stay drafts. Gmail, HubSpot, Slack and the Jev call all go through One | 20-email sample (fictional company, recorded answers): Jev filed 4 alone, Claude took 16 (5 drafts, 10 handed off, 1 held). Eval gate: routing 95% vs a labelled key (gate 90%). Fixes reported: a "checking in" email labelled noise at 30% confidence would have been archived, hence the 60% floor; a rule clash fixed by one sentence in `ROUTING.md`. Vendor's own sample of 20; `unverified`. Mastra's Classifier primitive: [[ideas/framework-integrations]] | [[ideas/patterns-business]] P22, [[ideas/patterns-agents]] P06 | [page](https://www.withone.ai/use-cases/mastra-inbound-router) |
| Lead qualification guide ([Flowgrammer](https://flowgrammer.ca/insights/typesafe-jev-lead-qualification), [@Flowgrammers](https://x.com/Flowgrammers/status/2105378143997755767); consultancy, **vendor**) | A design, not a deployment: fit, timing and intent as separate questions over the lead's own words; weights and routes in code; uncertain, missing, failed or conflicting answers go to a person; never auto-reject without a human path. Notes Quebec Law 25 duties for decisions based only on automated processing (their reading; not legal advice) | No Flowgrammer result yet (their own lead test promised). Its digest of public lead builds points at rows already in this wiki ([[ideas/patterns-business]] P19). One own observation: a local classifier spot check, English only, 28.7% on urgency (tool unnamed; `unverified`) | [[ideas/patterns-business]] P19, [[ideas/patterns-agents]] P06 | [guide](https://flowgrammer.ca/insights/typesafe-jev-lead-qualification) |
| ToolJet bank reconciliation ([@Athulya___](https://x.com/Athulya___/status/2105292879879098779), ToolJet) | A ToolJet app built through ToolJet's MCP with Jev: flags each transaction matched, missing or duplicate; a person reviews before save | Demo, video not transcribed; no numbers. How Jev is wired is not shown | [[ideas/patterns-business]] P23 | [post](https://x.com/Athulya___/status/2105292879879098779) |
| Kitsuno job pipeline (Gregory Turkawka, [@GTurkawka](https://x.com/GTurkawka/status/2106498079578820802), [Substack](https://turkawka.substack.com/p/laya-in-shadow-at-kitsuno), 2026-10-03; production since 2026-09-23) | Gates in a job platform: a check at the door before any LLM reads a job ad, role checks in its Be Found matching, match judgments after extraction; per ad, questions on country, work mode, geographic scope, seniority, language and employment type | Since 2026-09-23: 35,812 logged calls, 76M input tokens, $3.68 (**does not reconcile as stated**: 76M × $0.042/M = $3.19; $3.68 is ~87.6M tokens, our arithmetic); 30,738 calls in the last 7 days. All agents' LLM calls ~4,400/day (2026-09-09 to 22) → ~2,000/day (09-24 to 10-02) while new jobs per day nearly doubled; LLM tokens ~11M → ~5M/day (author: mixed traffic, "a direction, not a controlled test"). **Open Laya run in shadow** (open weights, not Jev; [[ideas/open-replicas]]): untrained 44% vs Jev 94% on their test set; after 8 days of training on frontier-model labels plus his review, never on Jev answers (he reads the customer agreement as forbidding it; Warnings (b), [[ideas/warnings]]): 95.8% vs 93.7% on 574 decisions over two test sets (31 right only for Laya, 19 only for Jev, p = 0.12, not significant); 93.4% each on the set never used to pick a model; his own 53 judgments: Laya 48, Jev 36. Caveat he names: the same frontier model wrote Laya's labels and the first draft of the reference answers, which favours Laya. Jev reads a country in the location line as "only that country" where their question calls it unclear (15-0 for Laya); seniority 9-5 for Jev. When Laya is ≥ 0.9 sure (86% of decisions) it is right 97.8% vs Jev 95.7% on the same decisions; Laya seniority 96% sure, 82% right. Production agreement with Jev 89-97% by question type. Laya 12.7 s per intake item → ~4 s (CPU) vs Jev 0.29 s per call. Reason to switch: EU data residency and open models, not cost; Laya does not decide yet; a data-retention question to TypeSafe unanswered since September. One author's runs; `unverified` | [[ideas/patterns-data]] P18, [[ideas/patterns-agents]] P01 | [post](https://x.com/GTurkawka/status/2106498079578820802), [article](https://turkawka.substack.com/p/laya-in-shadow-at-kitsuno) |
| [risk-analysis-server](https://github.com/youdotcom-oss/risk-analysis-server) (Edward Irby, [@edwardirby](https://x.com/edwardirby/status/2105695667486355848), You.com's open-source org; X article "Reviewed by @typesafeai", 2026-10-01; MIT; **vendor**) | Background risk-monitoring agent (MCP server): four Jev gates per sweep, each one batched request: a triage `Noul` on search highlights (escalate at ≥ 0.5, knob `RISK_TRIAGE_THRESHOLD`); a `Noul` ranking all Qwen-proposed queries (top 8 searched); a 3-level relevance `Score` on 30 results; a low / medium / critical `Choice`. Qwen3.8 27B (OpenRouter) only proposes queries and writes the briefing; code owns thresholds, budgets and caps. `RISK_JUDGE=jev\|qwen` swaps the judge | Author's runs, one news day: ~2¢ of Qwen per escalated sweep, $0.14 all-in per Jev-judged sweep; search ~6× the model bill; Jev ~¼¢ for three sweeps, ~$0.0005 per deep dive (~13k input tokens). Ranking queries before searching cut 19-26 searches per sweep to 12. Threshold 0.7 instead of 0.5 dropped the day's critical signal (two of three profiles sat at 0.56-0.63); kept 0.5. **Judge swap:** Jev triage stable within ±0.05 per profile, escalated 9 of 9 sweeps; Qwen as judge (same questions, strict JSON, 0 parse failures) escalated 6 of 11, one profile read 0.35, 0.68, 0.50 on consecutive runs, another 0.35-0.40 where Jev read 0.63-0.65; Qwen judging $0.10-0.18 per deep dive (~250×), 7-12 min vs ~2; blind human rubric on 15 reports tied 4.25 vs 4.25. Author's limits: one reader, one day, 9 vs 6 reports. Primitive shapes and "Noul least certain near 0.5" `verified` ([[concepts/primitives]], [[concepts/noul]]); numbers `unverified` | [[ideas/patterns-agents]] P36, [[ideas/patterns-data]] P17 | [article](https://x.com/edwardirby/status/2105695667486355848), [repo](https://github.com/youdotcom-oss/risk-analysis-server) |
| IssueRelay ([tutorial](https://www.freecodecamp.org/news/build-an-ai-support-system-that-automatically-routes-bugs-to-github), [repo](https://github.com/andrewbaisden/issuerelay); Andrew Baisden, freeCodeCamp, 2026-10-02) | A support widget: Jev suggests type and severity (only message and topic sent), code routes, and only a bug above a 0.9 cut becomes a GitHub issue (author: an uncalibrated starting point); uses the chosen label's probability as confidence; human overrides stored separately | 3 live reports classified as intended at 0.95-1.00 (`unverified`, n=3) | [[ideas/patterns-business]] P22 | tutorial |

Also seen, names only (vetted 2026-09-25): [Jev demos](https://github.com/mayank953/Jev) (mayank953: six side-by-side demos where Jev decides and Claude or Kimi writes; when hosted, visitors' keys pass through the app server; the listed instance returned 404 on 2026-09-25). Added 2026-10-01: Archaic's enterprise data-analysis platform (Tokyo; [press release](https://prtimes.jp/main/html/rd/p/000000057.000048761.html), Japanese, via [@PRTIMES_TECH](https://x.com/PRTIMES_TECH/status/2105484673266930045)): Jev sorts logs, transactions, tickets and records grouped by user, device or lot, an LLM analyses only flagged cases, people confirm; sync or batch; no numbers, real-data validation still to come.

## Markets (engineering only, not financial advice)

| Build (builder) | Jev decides | Reported numbers | Pattern | Source |
|---|---|---|---|---|
| fedjev-bench (maybern-tripp-smith) | Pairwise Choice "more hawkish about inflation" over FOMC press-conference openings, checked against rate actions and FedLock scores | Main run ≈ $0.031; gates 1, 3, 4, 6 pass, 2/5/7 reported; 7-criterion extension $1.5329. Text ranking, not a trade signal; buy/sell ([[ideas/patterns-data]] P25) stays `poor` | [[ideas/patterns-data]] P17 | [repo](https://github.com/maybern-tripp-smith/fedjev-bench) |

Also seen, names only (vetted 2026-09-25): [QuantStudio](https://github.com/quantskills/QuantStudio) (quantskills: local research and trading workbench; Jev grades trade plans on a futures-simulation contest account and every trade needs the user's confirmation; buy/sell stays P25 `poor`; described as engineering only, not advice).

## Related

- [[ideas/builds-apps]] — data and search builds, audits, lessons
- [[ideas/patterns-business]] — the business patterns these builds map to
- [[ideas/cost-ledger]] — cost per decision

## Sources

Files in frontmatter `sources:`, captured by 2026-10-04; original URLs inline.