Noetis College Planner · Personal engine for app builders
College Planning Engine for Apps
Compares colleges on fit and supplied costs and sequences the application work.
Answers: "Can an app turn school costs and deadlines into a plan?" For students and families.
No admissions probabilities. Deadline accuracy depends on the dates supplied.
Available today
ImplementedImplemented: runs on the shared runtime with supplied material. One bounded development check on 2026-10-12 took 149.9s with 15 model calls and ended "incomplete". That is a development signal, not an evaluation. Customer access is by approved account.
What you send
- Question
- Supplied text material
- Text material up to 150,000 characters per run
What comes back
- College comparison and application plan.
- Findings with the located quote and a support status from claim review
- Release status: released, incomplete with reasons, or failed
- Executed roles, usage and measured cost
Sample
Authored illustration. Written by Encevra to show the workflow. Not customer data and not a recorded model output.
Compare these three colleges for me.
Fit: small classes, engineering, within 300 miles. College A: engineering, cost $32,000 after aid letter. College B: no engineering major listed in brochure, cost $18,000. College C: engineering, cost not supplied; application deadline in brochure: 15 January.
- Schools compared on the supplied costs
- Deadlines ordered from the supplied dates
- Items the user must confirm with each school
The real response shape is documented in the API reference.
How the workflow operates
Each role is a responsibility in the workflow, served by a third party language model. More roles are not automatically better; depth and routing decide which run.
Built with
Models this engine uses: OpenAI (GPT), Anthropic (Claude). Specialists run on OpenAI models and the claim review and final brief on Anthropic models. If a provider has a temporary failure, the step can fall back to an OpenAI model, and the run records that.
Preference Mapper
Identify the student's fit criteria and their relative weight.
School Researcher
Extract school facts from supplied material only; flag anything that needs official confirmation.
Affordability Analyst
Compare supplied costs and aid assumptions, showing the arithmetic.
Requirements Tracker
List requirements and deadlines exactly as supplied; never invent a date.
Application Planner
Sequence essays, tests and forms against the supplied deadlines.
Evidence and deployment
Evidence
This engine reads the text you send in the request. Each released finding carries the exact quote and its character span in that text, located mechanically before release. Quotes that cannot be located are labelled Insufficient evidence and never shown as source verified. Interpretation is reviewed as a separate step, and gaps such as a missing clause describe what was searched instead of citing text that is not there.
Deployment
Runs on Encevra hosted infrastructure using the third party models listed above. Every model call and fallback is checked against the deployment policy first. Private cloud and air-gapped deployment are planned; discuss deployment requirements.
What it does not handle
- Admission probabilities
- Deadlines not present in supplied material
- Authorized source retrieval is not available: Not built. Engines read only supplied material.
- Uses only supplied material. No freshness guarantee beyond the documents provided.
- Required for every output during trials.
How to integrate
Send "engine": "college-planner" with your question and material from your server. Keys stay server side.
How to evaluate it
No published result for this workflow yet. Build a small answer key from your own work and compare against a strong single model baseline. See the evaluation checklist and method.
Cost and rights: pricing and licensing. Showing outputs to your own customers needs a written agreement.
Related engines
Content reviewed 2026-10-12 by the Encevra engine team. Engine version 0.1.0 on noetis-core-1.