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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.
为什么这很重要
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.
- · 专为 Small security teams, independent security researchers, and developer-led infrastructure teams performing code review, vulnerability triage, and API security testing. 打造。
- · 最可能的变现方式：SaaS subscription。
痛点叙事
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.
得分构成
市场信号
Go-to-Market 启动方案
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 周
- 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
差异化
为什么这件事可能失败
自我反驳——最重要的信任度信号
- 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.
证据综述
AI 如何合成此洞察——无原话引用
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.
行动计划
在写代码之前，先验证这个商机
推荐下一步
直接做
需求信号强烈。痛点真实、付费意愿明确——启动 MVP 开发。
落地页文案包
基于真实 Reddit 评论整理的即用文案，可直接粘贴到落地页
主标题
Refusal-aware AI router for security teams
副标题
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.
目标用户
适合：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
去哪里验证
把落地页链接发布到 r/HN · front_page——这里就是这些痛点被发现的地方。
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