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Refusal-aware AI router for security teams
Build a multi-model security assistant that routes defensive tasks to the best available model based on refusal likelihood, cost, and past task success. The main value is reliability: users can submit triage, audit, and API-testing prompts once and get the highest chance of a usable answer without manually bouncing between vendors.
為什麼這很重要
You are trying to use AI to investigate a bug, review suspicious code, or test an API, but the experience is unpredictable. One model refuses the task, another works but is expensive, and a third is accessible only through a different provider. Even after jumping through approval steps, you still do not know whether the prompt will be accepted. So you keep multiple accounts open, rewrite prompts manually, and waste time rerunning the same job. What you want is not a more powerful model in theory. You want a dependable layer that gets legitimate security work done with the least friction and the lowest token spend.
- · 專為 Small security teams, independent security researchers, and developer-led infrastructure teams performing code review, vulnerability triage, and API security testing. 打造。
- · 最可能的變現方式：SaaS subscription。
痛點敘事
You are trying to use AI to investigate a bug, review suspicious code, or test an API, but the experience is unpredictable. One model refuses the task, another works but is expensive, and a third is accessible only through a different provider. Even after jumping through approval steps, you still do not know whether the prompt will be accepted. So you keep multiple accounts open, rewrite prompts manually, and waste time rerunning the same job. What you want is not a more powerful model in theory. You want a dependable layer that gets legitimate security work done with the least friction and the lowest token spend.
得分構成
市場信號
Go-to-Market 啟動方案
Independent security researchers and 2-20 person application security teams already paying for at least two model providers.
~30K-80K active global early adopters
Twitter dev community
$79/month
25 paying users who connect two or more model providers and run 200+ routed jobs in 30 days
MVP 方案 · 1-2 週
- Implement a simple web UI for submitting security-related prompts with redaction warnings
- Connect three model backends through direct APIs or a unified gateway
- Create a rule-based router that tags prompts as triage, audit, or API testing
- Log refusal outcomes, latency, and cost per request in PostgreSQL
- Build a manual fallback chain that retries the next model after refusal
- Add a dashboard showing success rate, refusal rate, and cost by model and task type
- Implement prompt rewriting suggestions to preserve defensive framing
- Create reusable templates for common workflows such as issue triage and code audit
- Add API keys, team workspaces, and basic usage metering
- Launch a concierge beta to 10 security-heavy users and collect routed job data
差異化
為什麼這件事可能失敗
自我反駁——最重要的信任度信號
- 1Model vendors may tighten terms or block patterns that look like refusal circumvention, limiting product usefulness.
- 2Users with sensitive code may refuse to send security prompts through a new intermediary unless on-prem or strict privacy options exist.
- 3If major vendors improve legitimate security access quickly, the routing pain may shrink before the product gains distribution.
證據綜述
AI 如何合成此洞察——無原話引用
Discussion participants repeatedly described abandoning one model for another because defensive security tasks were blocked or inconsistently allowed. Roughly a dozen comments centered on refusals, approvals, or the need to switch providers for triage, auditing, and API testing. Several also mentioned cost tradeoffs, showing that a router optimizing both task completion and spend would solve an active workflow problem rather than a hypothetical one.
行動計畫
在寫程式之前，先驗證這個商機
建議下一步
直接做
需求訊號強烈。痛點真實、付費意願明確——啟動 MVP 開發。
落地頁文案包
基於真實 Reddit 評論整理的即用文案，可直接貼到落地頁
主標題
Refusal-aware AI router for security teams
副標題
Build a multi-model security assistant that routes defensive tasks to the best available model based on refusal likelihood, cost, and past task success. The main value is reliability: users can submit triage, audit, and API-testing prompts once and get the highest chance of a usable answer without manually bouncing between vendors.
目標使用者
適合：Small security teams, independent security researchers, and developer-led infrastructure teams performing code review, vulnerability triage, and API security testing.
功能列表
✓ Prompt classification for benign defensive workflows ✓ Automatic model routing based on refusal history and cost ✓ Fallback chain across multiple model providers ✓ Audit logs showing why a request was rerouted or blocked ✓ Task templates for code audit, issue triage, and API testing
去哪裡驗證
把落地頁連結發布到 r/HN · front_page——這裡就是這些痛點被發現的地方。
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