Sharper
Summary
AI assistants that can't see your documents answer from generic training data — which means every answer you get could be contradicted by the brief sitting in your Google Drive. Sharper AI builds its responses from your actual files, connected apps, and calendar before it starts work.
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.
Bottom line: Pick this for an individual contributor or small team that needs a document-grounded assistant they can schedule — but plan a different path the moment your compliance team asks where the data lives or your engineers want to pipe outputs into an existing workflow.
Pricing Plans
Subscription- Price
- $29/month
Starter
Basic model access, 1,200 weekly credits, 3 knowledge bases, 5 scheduled tasks, 5GB storage, 25MB max file size
- 1,200 weekly credits
- 3 knowledge bases
Pro
Expert model access, 3,600 weekly credits, 10 knowledge bases, 10 scheduled tasks, 20GB storage, 50MB max file size
- 3,600 weekly credits
- 10 knowledge bases
Max
Expert model access, 7,200 weekly credits, 25 knowledge bases, 20 scheduled tasks, 100GB storage, 100MB max file size
- 7,200 weekly credits
- 25 knowledge bases
View full pricing on sharper-ai.co →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- 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
Sign in to edit- 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.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-21T09:01:22.684Z
Best For
Who it's for
- Office productivity with custom data
- Document-based task automation
- Users needing scheduled AI assistance
What it does well
- Build knowledge bases from documents
- Automate travel planning and research
- Generate presentations and code deliverables
- Run scheduled tasks with context awareness
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Frequently Asked Questions
- Is Sharper free?
- Sharper is a paid tool ($29/month). No permanent free tier is offered.
- Is Sharper open source?
- No — Sharper is a closed-source tool. Source code is not publicly available.
- What platforms does Sharper support?
- Sharper is available on: Web.
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Curated lists that include this category
Most AI assistants answer from what they were trained on. When your actual source of truth is a 24MB market research PDF or last week’s interview notes in Notion, that gap costs you. Sharper AI addresses this by building a context field from your uploaded files and connected apps — Notion, Gmail, Google Drive, Slack, Outlook, Calendar — then running a visible tool chain across those sources before returning a deliverable. The four work modes (Research, Review, Build, Run) map to distinct task types: synthesizing a cited brief, reviewing documents, generating outputs like presentations or code, and executing scheduled recurring operations.
The differentiating feature is what the vendor calls the Proof Ledger — every response ties back to specific passages, page numbers, and document excerpts. You can inspect exactly which paragraph in which PDF produced a given claim. For teams where answer provenance matters — legal, compliance, sales — this changes the trust calculus. Drafting a customer email from an approved launch brief becomes auditable: the system flags that roadmap dates need Product sign-off before the copy goes out, and it shows you the passage that triggered that flag.
Scheduled operations extend this beyond interactive chat. You configure recurring tasks — daily briefs, weekly executive summaries, monthly pipeline reviews — and Sharper runs them on a timer, pulling the right integrations into each run and archiving the output for review. This fits teams who want ambient automation without building a pipeline. The ceiling appears when you need that automation to trigger external systems or feed structured data into another tool — there is no API, so outputs stay inside Sharper’s workspace.
Sharper AI is a cloud-only, paid-tier product with no self-hosted deployment. Integrations cover the standard productivity stack: web search, cloud storage, mail, calendar, Slack, and Notion. Teams that need database connections, custom data services, or code execution environments will find the integration surface narrow relative to developer-oriented alternatives.