When you type a task, six systems activate in seconds: intent parsing, context enrichment, prompt selection, model routing, execution, and quality verification. Here is what happens between your input and the expert result.
Every task flows through six stages. Each one makes the result measurably better.
Step 01
We parse what you need: task type, audience, context, constraints.
Step 02
Your memory, your StylePrint, your preferences — all applied before prompt selection.
Step 03
We match your task to battle-tested prompts across 9 verticals — enriched by your context. Versioned. Scored. Continuously improved.
Step 04
We pick the right model and tune parameters. 8 providers. The one that scores highest for your task type.
Step 05
The composed prompt is delivered to the provider. Response streams back in real time.
Step 06
Every result is scored. Below threshold? We re-run with a different approach. Signals feed back to improve future runs.
a21e remembers your preferences, corrections, and project context. Every execution gets smarter. You see everything we know. You can change any of it.
Learn about Memory →
Installable extensions that give your AI new capabilities. Sandboxed, signed, one-click install.
Explore skills →
REST, JSON-RPC, OpenAI-compatible shim. 5 SDKs. CLI. MCP plugin. Webhooks.
Read the docs →
Give your AI coding assistant access to a21e. Six tools over MCP: check credits, query memory, enhance prompts, resolve providers, store knowledge, log usage.
Set up the plugin →
For specific deliverables — websites, code reviews, huddles, StylePrints, agents — visit Studio.
Open Studio →
AES-256-GCM encryption at rest. TLS 1.3 in transit. Prompt IP never exposed to clients. Full audit trail. Your provider keys are decrypted only during execution.
See our Trust page →Type what you need. The platform handles prompt engineering, model selection, and quality verification. $5 to start.