AI assistants and search decision

Saner.AI

A capable developer can implement a useful ADHD-focused assistant (chat + tasks + calendar + notifications) within a week and maintain it; the hosted product's polish, user base, and any proprietary models would be lost.

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You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$50one-off30 h to build

$100/mo8 h/mo upkeep

No published price to break even against.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Saner.AI alternatives, with the arithmetic →

What a replacement has to do

  • A minimal replacement provides a conversational assistant that stores and surfaces short-term tasks/reminders, syncs or imports calendar events, accepts plain-text or web input, and sends scheduled notifications.

What it still won’t have

  • Polished UX and mobile app polish
  • Any proprietary models, training data, or closed-source optimizations
  • Existing user base, analytics, and product support
  • Platform-level reliability and SLAs

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

Saner.AI does not publish a price we could read, so there is nothing to compare against. What building costs is below.

Money you would actually spend

Keep paying
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Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

Time you would spend

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What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal AI personal assistant web app using Next.js (React) frontend, FastAPI backend, and Postgres. Core features: chat interface that sends messages to an LLM (configurable OpenAI-compatible API), CRUD task/reminder storage, one-way Google Calendar import (OAuth and event import), background scheduler to deliver notifications via an email provider (SendGrid) and SMS (Twilio), and basic auth (magic-link). Out of scope: native mobile apps, advanced agent orchestration, training custom models, and multi-tenant admin UI. Include error handling for network, API quota, and scheduler failures, automated unit tests for backend endpoints, and deployment scripts (Dockerfiles and a simple Terraform or Docker Compose setup).
How we checked3 sources · 2/3 runs agreed · evidence score 86

How the score was reached

  • Build verdict base78
  • An open-source build was found+5
  • 3 cited sources+3
  • Evidence score86

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 3

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded