Prompt Infrastructure

How prompts power your agents

Every agent action is backed by a prompt. a21e handles intent routing, version control, and governance so your agents stay fast, accurate, and auditable.

The invisible infrastructure that matters most

Agents look smart, prompts do the work

Every capability your agent exposes is backed by a prompt. When the prompt is fragile, the agent is fragile — but nobody sees the prompt layer until something breaks.

Routing is the hard part

Matching a user's intent to the right prompt, model, and parameters in real time is an infrastructure problem most teams solve with brittle if-else chains.

Versioning is invisible until it isn't

A prompt change can silently shift agent behavior across every workflow that depends on it. Without version control, rollbacks are guesswork.

Governance gaps compound

Without approval flows and audit trails, prompt changes propagate unchecked. Compliance teams can't verify what ran, when, or why.

What the system does

Routing & execution

Automatic intent routing

Incoming requests are matched to the best-fit prompt based on intent, context, and evaluation data — no manual mapping required.

Version-controlled execution

Every prompt execution is pinned to a specific version. Updates propagate on your schedule, not when upstream authors push changes.

Quality scoring

Prompts carry evaluation results, cost metrics, and latency benchmarks so the system can route to the highest-quality option automatically.

Governance & safety

Approval workflows

Prompt changes go through team-defined approval gates before they can affect production agents.

Execution audit trail

Every prompt invocation is logged with version, parameters, model, and result — giving compliance teams full traceability.

IP isolation

Prompt content is never returned to API consumers. The logic stays server-side and protected by default.

How automatic intent routing works

01

Agent receives intent

A user or system sends a request. The platform extracts intent, context, and constraints from the input.

02

Route to best prompt

The routing layer matches intent against available prompts using evaluation scores, cost, and latency data.

03

Execute with version pin

The selected prompt runs against the pinned version and model configuration. Results are logged and returned.

04

Learn and improve

Execution data feeds back into evaluation scores. The system gets better at routing over time without manual tuning.

Built for every layer of the stack

Agent builders

Wire your agents to a prompt layer that handles routing, versioning, and quality — so you can focus on the product, not the plumbing.

Platform teams

Enforce governance, track every execution, and control which prompt versions run in production across your organization.

Prompt authors

Publish prompts into the system with structured metadata, evaluation benchmarks, and built-in version control.

See what your agents are built on

Explore the prompt infrastructure that powers every agent capability. Automatic routing, version control, and governance out of the box.

Next step

Explore the prompt layer or start building.