Noetis Personal Administration · Personal engine for app builders
Personal Document Organizer Engine
Organizes letters and forms into an action list with draft replies.
Answers: "Can an app turn letters and notices into dated tasks and draft replies?" For individuals handling personal paperwork.
Drafts only. It never sends, submits or pays anything.
Available today
ImplementedImplemented: runs on the shared runtime with supplied material. One bounded development check on 2026-10-12 took 100.3s with 13 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
- Evidence linked action list and draft replies.
- 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.
What do I need to do with these letters?
Letter 1 (tax office, dated 2 Sep): send proof of address within 30 days. Letter 2 (insurer): renewal premium $640, auto renews 1 Oct unless cancelled. Letter 3 (school): consent form, no date.
- Dated tasks taken from the supplied letters
- Draft replies for the user to review
- Deadlines that need checking with the sender
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.
Document Classifier
Organize the supplied documents by sender and purpose.
Requirements Extractor
Identify every action each document asks for.
Deadline Tracker
Record dates exactly as supported by the documents.
Response Drafter
Prepare replies for the person to review and send themselves.
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
- Automatic submissions or messages
- Uses only supplied material. No freshness guarantee beyond the documents provided.
- Required for every output during trials.
How to integrate
Send "engine": "personal-admin" 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
- Writing and Communication Engine for Apps
- Personal Planning Engine for Apps
- Household Budget Planning Engine
Content reviewed 2026-10-12 by the Encevra engine team. Engine version 0.1.0 on noetis-core-1.