AI tool comparison
Glean Agents Platform vs Stet
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Productivity
Glean Agents Platform
Build enterprise AI agents with secure access to all your company knowledge
75%
Panel ship
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Community
Paid
Entry
Glean's Agents Platform is a generally available enterprise AI agent builder that lets teams create AI agents with secure, permissioned access to company knowledge indexed across 100+ business apps. Agents can trigger workflows, answer questions grounded in internal data, and integrate with tools like Salesforce, Jira, and ServiceNow. It's built on top of Glean's existing enterprise search infrastructure, making the knowledge layer the core differentiator.
Productivity
Stet
Open-source macOS dictation that sounds like you, not a corporate AI
75%
Panel ship
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Community
Free
Entry
Stet is a minimalist, open-source macOS voice input app that transcribes speech and cleans it up without stripping away your natural voice. Named for the editorial term "let it stand," it's built on the principle that AI transcription should preserve your phrasing — not homogenize it into corporate-speak. The app listens locally, then optionally passes transcripts through an AI cleanup layer (OpenAI or Groq) to fix filler words and false starts. You can bring your own API key for completely free usage, or pay $6.99/month for the hosted cloud version. A Supabase backend enforces zero data retention, so nothing is stored after processing. Stet is the work of a single indie developer who noticed that every dictation tool on the market either sounds robotic or aggressively rewrites your words. At 66 Product Hunt upvotes on launch day (April 22, 2026), it's a quiet success that fills a real gap for writers, developers, and anyone who types a lot and is tired of Dragon-era dictation software.
Reviewer scorecard
“The direct competitors here are ServiceNow's Now Assist, Microsoft Copilot Studio, and Salesforce Agentforce — all of which have massive distribution advantages. Where Glean actually earns its place is the knowledge layer: if you've already got Glean indexing your company's internal content with real permissions, building agents on top of that foundation is meaningfully different from a blank-slate agent builder. The scenario where this breaks is large enterprises with fragmented IT budgets, where Glean has to compete against the existing Microsoft 365 or ServiceNow contract rather than supplement it. What kills this in 12 months isn't a competitor — it's Microsoft bundling Copilot Studio capabilities deeper into M365 E5 licenses and making the 'we already have Glean' argument harder to close.”
“Apple's built-in dictation has gotten surprisingly good, and it's free with no BYOK setup. The 'preserves your voice' pitch is compelling but subjective — I'd want a side-by-side blind test. Solo indie developer + $7/mo hosted tier raises long-term sustainability questions.”
“The buyer here is the CIO or VP of IT, pulling from digital transformation or enterprise AI budget — not a departmental line item. Glean's smart move is that the Agents Platform is an expansion motion inside an existing Glean contract, not a net-new sale, which is the only land-and-expand story that actually works. The moat is real but narrow: it's the indexed, permissioned knowledge graph that takes months to build and tune per enterprise, creating genuine switching costs. The stress test is whether enterprises will consolidate on one platform player — if Microsoft or Salesforce offers 80% of this functionality bundled into existing spend, Glean's standalone value proposition compresses fast unless they keep the knowledge indexing quality visibly ahead.”
“The primitive here is a hosted agent runtime that uses Glean's search index as a retrieval layer and exposes workflow triggers — essentially a RAG-grounded agent builder with pre-built connectors. The DX bet is that enterprises want a no-code/low-code surface rather than composable APIs they can wire into their own stack, which is probably the right call for the buyer but makes this nearly useless if you want to integrate it into an existing internal toolchain. The moment of truth — can a developer get an agent running against real company data in under 30 minutes — is entirely gated behind the sales cycle and enterprise provisioning, which means there's no public hello-world to evaluate. The blog post has no repo, no public API docs, no sandbox, and no pricing: three red flags for any tool claiming to serve builders.”
“Open-source, BYOK, and local-first listening? This is how voice input should work. The Groq integration makes transcription near-instant. I've been using it for commit messages and code comments — genuinely faster than typing for longer explanations.”
“The job-to-be-done is precise: 'help enterprise employees get answers and trigger actions using company knowledge without requiring IT to build custom integrations from scratch.' That's a real, well-scoped problem. The completeness question is where Glean has an edge over blank-slate agent builders — because the knowledge indexing is already done for existing Glean customers, the activation cost for the first useful agent should be low compared to starting from Copilot Studio with an empty SharePoint. The gap I'd flag is that 'over 100 business apps' is a connector count, not a measure of integration depth — the real test is whether an agent can reliably take action in Salesforce or ServiceNow, not just read from them, and nothing in the GA announcement quantifies that reliability at scale.”
“We're entering an era where voice is the primary interface for AI-assisted work. Tools that get the human-voice preservation problem right now will have a head start when voice input becomes default. Stet's philosophy is the right one.”
“As a writer, dictation tools that rewrite me drive me insane. Stet is the first one that feels like a scribe rather than an editor. The zero-retention policy means I can dictate client-sensitive notes without anxiety. This is the one.”
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