Import or start guided
Choose either guided path: import prior schedules or exported CSV files and review the records AneSched infers, or begin with blank databases while the AI wizard helps the administrator complete each one in turn.
AneSched turns the way your group actually works into reviewable records, validated rules, and a monthly schedule—without asking an administrator to become a programmer.
This is a nudge, not a hard prohibition. The validator may still use Dr. Rivers when necessary.
Begin with historical schedules or a guided blank database. AneSched proposes what it sees; the administrator remains the source of truth.
Choose either guided path: import prior schedules or exported CSV files and review the records AneSched infers, or begin with blank databases while the AI wizard helps the administrator complete each one in turn.
Assumptions below 80% confidence receive a question mark. The AI asks focused questions at the record level instead of turning setup into a field-by-field interrogation.
Review Dr. Rivers, Pacific Memorial, or 1st Call Night as a complete record. Correct the AI in plain language, approve its interpretation, and press Save to make the canonical change.
The scheduling engine applies approved hard constraints, uses soft preferences as nudges, and presents a proposed month for administrator review. Point out a problem; AneSched translates the correction into a governed change.
AneSched is designed so administrators can describe exceptions, preferences, and local scheduling culture naturally. The AI maps those instructions to capabilities the scheduler already supports and tells you when a request would require a governed product upgrade.
“Avoid OB call for Dr. Rivers when reasonable.”
“Create a new three-team supervision model.”
The restricted Codex agent explains which side of the line a request falls on before anything changes.
An issue report inside the MVP leads to one clear next step: guidance for a capability the installed product already supports, a focused clarification, or a governed product-update candidate for review.
Describe what happened and the result you expected. The administrator-controlled workspace records the report.
AneSched returns current-product guidance, asks a focused question, or identifies a product-update candidate.
When code must change, development happens outside the installed scheduler. The change is tested, versioned, and presented for approval before release.
The website explains and distributes the product. The canonical database and validators remain in the administrator-controlled installation. When an administrator deliberately uses an AI feature, AneSched may send the bounded context required for that task to OpenAI through the connected ChatGPT account.
Product information, recorded walkthrough, verified release downloads.
No schedule databaseCanonical database, deterministic validators, and a restricted native Codex agent connected through ChatGPT OAuth.
Local canonical databaseAI-proposed changes do not become canonical until the administrator confirms and saves them.
The Codex agent is bound to AneSched’s approved roles and cannot rewrite the installed program.
Approved rules and record edits are versioned so administrators can understand what changed.
Authorized evaluators download one Windows 11 x64 ZIP containing AneSched, its required local runtimes, the restricted native Codex agent, and the guided setup. Nothing else needs to be downloaded separately. Extract the folder, then double-click START-ANESCHED.cmd.
A ChatGPT account with Codex access is required. OAuth provides the secure sign-in; the connected ChatGPT plan and the amount of AI use determine available capacity. The Windows computer runs the local AneSched service and must be awake while AneSched is in use.
Two guided onboarding pathsReview records inferred from old schedules, or build the blank databases with the AI wizard
Codex usage visibilityPlan, percentage used, percentage remaining, and next reset date and time in AneSched
Deterministic quality gateBackend, frontend, installer, and scheduling validation
Verified internal packageOne versioned ZIP with a published SHA-256; signing and controlled upgrades remain future release gates
No. The website shows a recorded, fictional walkthrough. The real experience comes from installing the MVP and signing the restricted Codex agent in through ChatGPT OAuth.
You need a ChatGPT account with Codex access. The right plan depends on how often and how heavily the group uses AI. AneSched shows the administrator the percentage used, percentage remaining, and the next reset time so capacity can be reviewed before changing plans.
Not directly. It returns its interpretation in plain language, the administrator approves or corrects it, AneSched validates it, and an explicit Save makes the canonical change.
The canonical schedule database remains on the administrator’s computer. An intentional AI request may send only its bounded task context to OpenAI through the connected ChatGPT account. This beta does not yet claim qualified portal backup, mobile continuity, or replacement-computer recovery.
A value below 80% confidence is marked for attention. The AI asks a focused question, then the administrator approves the completed staff, institution, or position record.
Not yet. The current MVP can schedule physician-only or CRNA-only groups. Mixed care-team models involving medical direction or supervision of CRNAs, CAAs, or residents are planned.