Comparisons
AI agent vs. building your own
The demo takes a weekend; the last 20% takes a year
Wiring a model to a vector database and getting a convincing answer out of it is a weekend of work, which is exactly what makes building look cheap. The year goes on everything after: retrieval quality against real questions, guardrails, hand-off, latency under load, every language your visitors speak, logs your privacy team will sign off on, and the standing cost of keeping all of it working while the models change underneath you.
| AI agent | Alternative | |
|---|---|---|
| Time to the first real conversation | Hours | Weeks to a prototype |
| What you maintain | Your content | Pipeline, infrastructure, prompts, evals |
| Cost profile | A subscription you can forecast | Engineering salaries, indefinitely |
| Guardrails and privacy | Included, and audited across customers | Built, and rebuilt, by you |
| Control over the roadmap | Bounded by the vendor | Total: the honest reason to build |
When to pick which
Build when the agent is the product, or when the domain is so specific that no vendor can model it. Buy when the agent is a channel to the product: the thing that differentiates you is your content and your process, not the plumbing that retrieves them.
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