Behest vs Building Your Own
Months of engineering vs hours of deployment.
Building auth, CORS, rate limiting, PII scrubbing, memory, and observability from scratch takes months of engineering and ongoing maintenance. Behest deploys all of it in your cloud in hours.
Build It Yourself
Plus ongoing maintenance, security patches, scaling issues, and every new feature you need to build from scratch. Your team spends months on infrastructure instead of your product.
Use Behest
Deploy a complete AI backend in your cloud. Auth, memory, PII scrubbing, prompt defense, rate limiting, token budgets, and observability — all configured and ready. Focus your engineers on building the product.
What you'd need to build
Every component of a production AI backend, estimated individually
| Component | DIY Estimate | Behest |
|---|---|---|
| CORS proxy with auth | 1-2 weeks | |
| Multi-tenant authentication | 2-4 weeks | |
| Rate limiting (per-tenant, tiered) | 1-2 weeks | |
| PII detection & scrubbing | 2-4 weeks | |
| Prompt injection defense | 2-4 weeks | |
| Conversation memory / context | 2-3 weeks | |
| Token budget management | 1-2 weeks | |
| Kill switches | 1 week | |
| Usage analytics & observability | 2-4 weeks | |
| LLM provider routing | 1-2 weeks | |
| System prompt management | 1 week | |
| Self-hosted deployment & ops | 2-4 weeks | |
| Total | 18-33 weeks | Included |
Feature Comparison
| Feature | Behest | DIY |
|---|---|---|
| CORS Handling | if you build it | |
| Multi-tenant Auth & Isolation | if you build it | |
| Rate Limiting (3-tier) | if you build it | |
| PII Scrubbing | if you build it | |
| Prompt Injection Defense | if you build it | |
| Conversation Memory | if you build it | |
| Token Budgets | if you build it | |
| Kill Switches | if you build it | |
| Observability & Analytics | if you build it | |
| Usage Tiers & Token Economics | if you build it | |
| Production-ready in hours | ||
| Maintained & updated for you | ||
| Battle-tested security | ||
| Zero ongoing maintenance |
The hidden costs of DIY
Ongoing maintenance
Security patches, dependency updates, and bug fixes for every component you built.
Scaling challenges
Rate limiters that break under load. Memory stores that grow unbounded. Auth that doesn't isolate tenants.
Security vulnerabilities
PII leaking through edge cases. Prompt injections you didn't anticipate. CORS misconfigurations.
Opportunity cost
Every week your team spends on infrastructure is a week not spent on your product.
Hiring & retention
Finding engineers who can build production-grade AI infrastructure is expensive and competitive.
Feature velocity
New LLM providers, new security threats, new compliance requirements — you have to keep up with all of it.
Skip the months of building. Deploy in hours.
Get a complete, production-ready AI backend — auth, memory, PII scrubbing, prompt defense, rate limiting, and observability — self-hosted in your cloud.