AI Agentic output prediction engine and Agentic Development Environment

Ship Code from Specifications

See the output before the agent executes.

prompt0:00

main.aexol30s
main.aexol
GraphQL
frontend
Tests
✓ user acceptsinstant
/agent15 min
● app ready+10 min

Studio

Use plan mode studio to specify your project.

Create and maintain spec with graph visualization, parallel artifacts and frontend mockups. Prepare your spec for the agent.

Inference

IntelligentArtifactGeneration

Not just code generation — self-evaluating inference that produces type-safe schemas, resolvers, and tests in seconds.

schema.graphql
~240 bytes
prisma.schema
~180 bytes
resolvers.ts
~520 bytes
Done in 1.2s · 0 type errors

Agentic Output

Forecasttheoutputyouragentwillproduce

Preview the program your agent will generate across hours, days and weeks of development — projected from your spec and visualised as a growing structure before a single line is written.

Output forecast

spec → types
UserProjectSession
schema
schema.graphqlmodels.ts
resolvers
authdeploysync
frontend
componentsroutes
projected structurespec → app
types
42
schema
38
resolvers
31
frontend
24
tests
17
projected from spec · updates as spec evolves

Agentic Dev Env

Validatecomplianceagainstyourspecastheagentworks

Your agentic dev environment uses the spec and generated artifacts as ground truth — checking that the implementation stays compliant with what you actually specified.

Spec compliance

spec vs implementation3 / 4 pass
schema matches spec
resolvers respect permissions
types align with models
missing auth guard
compliance
75%
re-checked on every spec change

Why Aexol

Moreoutput.Lesscost.Zerocompromise.

Generic coding agents burn tokens on bloated context and rework. Aexol compresses every prompt, generates multiple artifacts in parallel, and validates each one against your spec — so you ship more from fewer tokens, with usage you can track and cap per project and per person.

Precision.Speed.Affordability.