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Drifty vs Sharper

Drifty and Sharper are both personal assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Drifty

Drifty

The core loop is passive: Drifty records your active app, site, and session title in three-minute blocks, then routes that minimal context through an AI classification engine to label each block. You review a timeline at the end of the day, a weekly heatmap, and a drift alarm that can nudge you mid-session. The privacy architecture is the differentiator — no screen recording, no screenshots, and you choose whether classification runs locally on your Mac, through drifty's managed cloud, or via your own API key. The ceiling appears quickly if you need billable hour exports, client-facing reports, or integrations with invoicing tools — the vendor page describes none of those. Mac-only, no API, no self-hosted option outside the local AI mode.

Sharper

Sharper

The core loop: you upload documents or connect sources like Notion, Gmail, and Slack, and Sharper runs multi-step task chains — reading, searching, analyzing, and writing — against that private context. Every answer ships with a proof ledger: cited passages linked back to the specific document page that produced them. Scheduled operations let you automate recurring tasks, like a weekly digest or pipeline review, with the right sources pre-loaded. The tool has no API and no self-hosted option, so teams with data-residency requirements or the need to embed this into a larger system hit a wall. For anything that needs to run inside your own infrastructure, you are looking at a different architecture.

AttributeDriftySharper
PricingPaidPaid
Price$5/month$29/month
Free trialNoNo
Open sourceNoNo
Has APINoNo
Self-hosted optionNoNo
PlatformsMacWeb
Pros
  • Fully passive capture in three-minute blocks with no timers or manual tags, so the data you review at the end of the day reflects what actually happened rather than how consistently you remembered to log.
  • Three AI routing options — managed cloud, your own API key, or local on-device — so teams with strict data policies can run classification without any activity context leaving the Mac.
  • Session-level detail beyond app names, so the timeline shows what was happening inside each app rather than just which window had focus.
  • Drift alarm fires during detected drift periods, which means you get a mid-session nudge instead of discovering the pattern only when reviewing last week's data.
  • Weekly heatmap and focus rhythm views aggregate daily patterns automatically, so identifying which hours of the week produce the most focused work requires no manual analysis.
  • Document-grounded responses with passage-level citations, so you can trace every claim back to the exact page it came from — eliminating the guesswork that comes when a generic AI confidently contradicts your own briefing materials.
  • Scheduled task automation with pre-loaded context, which means recurring work like weekly digests or pipeline reviews runs without manual setup each time — replacing the copy-paste ritual of feeding the same documents into a chat window again and again.
  • Connected to the standard productivity stack (Gmail, Notion, Slack, Google Drive, Outlook, Calendar) out of the box, so answers can draw on live context from the tools your team already uses rather than stale uploads alone.
  • Parallel tool calls during execution — the system reads private sources and searches the web simultaneously — which means a research brief can cross-reference your internal documents against fresh external context in a single run rather than requiring two separate queries.
  • A visible execution chain shows which tools fired and in what order, so you can audit why an answer looks the way it does instead of treating the output as a black box.
Cons
  • No export, API, or integration surface is described anywhere on the vendor page — if a freelancer needs to turn tracked focus time into a client invoice or feed data into a project management tool, Drifty provides no pathway to do that, and they move to a dedicated time tracker like Toggl or Harvest.
  • Local AI mode requires downloading a model that the vendor states consumes approximately 5–7 GB of RAM — on a MacBook with 8 GB, that classification load competes directly with the development or creative work being tracked, making the free tier impractical on lower-spec machines.
  • Mac-only with no web access and no Windows or Linux support means any team member not on a Mac is excluded, ruling Drifty out for cross-platform teams tracking collective focus patterns.
  • No API access means outputs cannot be piped into other systems — if your team needs Sharper's results to trigger a CRM update, populate a database, or feed a downstream workflow, you are copying and pasting by hand. Teams with that requirement switch to platforms that expose an API or webhook surface.
  • No self-hosted deployment option means all document processing happens on Sharper's infrastructure. Teams subject to data-residency rules, HIPAA, or enterprise security review that prohibits third-party cloud processing cannot use this tool in those contexts — and the vendor provides no path to change that.
  • Integration depth stays at the productivity-app layer. There is no mention of database connectors, custom API endpoints, or code execution environments. Teams that need to pull from structured internal data sources beyond cloud storage and mail will find the context field limited, and at that point they are evaluating tools built for broader enterprise integration.
Bottom line

Drifty and Sharper are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between Drifty and Sharper?

Drifty is Paid, while Sharper is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Drifty better than Sharper?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Drifty vs Sharper: which should I pick?

Pick Drifty if its pricing model, openness, or platform fit matches your constraints; pick Sharper otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.