Frigade
In-product AI assistant that learns your software by signing in and using it, then answers questions, walks users through workflows, or completes the task.
The auto-learning angle is the real differentiator, and it holds up: Frigade re-runs a browser agent against your product and re-trains every time you ship, so you're not auditing docs or rewriting prompts after each release. Skills and the September 2026 Assist API mean it can act and can plug into an agent you already built, which is where most in-app chatbots quietly stall. The catch is the entry price — Growth starts at $1,000/mo for 2 product agents and 2,500 queries — a growth-stage commitment, not a weekend experiment. Compare against Intercom Fin and Pylon if your help desk is already where escalation lives.
Verified 7d ago · liveness 79/100 · cite: rightaichoice.com/tools/frigade
- SaaS product teams whose help docs always trail the shipped UI
- Support and CX teams deflecting how-do-I questions inside the product
- Teams that already built an agent and want live product expertise via the Assist API
- Product-led growth teams running onboarding tours without manual tagging
- Teams without a React frontend — the Engage SDK is React-only
- Pre-revenue startups — Growth starts at $1,000/mo for 2,500 queries and 2 product agents
- Companies that need SSO, EU data residency, or self-hosting without moving to Enterprise
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Skip Frigade if you need in-app help on a non-React frontend, or if $1,000/mo for 2,500 queries and 2 product agents is more than your current support volume justifies.
Growth includes 2,500 queries per month, and the assistant's own learning runs consume product agents — heavy traffic means a jump to Enterprise's custom pricing rather than a cheap overage tier.
Growth starts at $1,000/mo with 2,500 queries, 2 product agents, and unlimited seats — priced for funded growth-stage SaaS, not pre-revenue teams. Cheaper in-app help widgets and KB chatbots exist for small budgets, but they don't re-learn your product or act. Enterprise is custom-priced with scale discounts for teams needing self-hosting, SSO, EU residency, and up to 100 product agents.
In short
Frigade — In-product AI assistant that learns your software by signing in and using it, then answers questions, walks users through workflows, or completes the task. Best for SaaS product teams whose help docs always trail the shipped UI, Support and CX teams deflecting how-do-I questions inside the product, Teams that already built an agent and want live product expertise via the Assist API. Free to start; paid plans from $1,000/mo.
What's new in Frigade
Checked 7 days agoAcross the latest 5 updates: 3 feature updates, 1 launch and 1 changelog entry.
Connect Claude, Cursor, or ChatGPT to your Frigade workspace
The Frigade Assistant now has an MCP server, so you can connect Claude, Claude Code, Cursor, or ChatGPT to your workspace and ask about your questions, answers, feedback, insights, and users in plain language.
Questions got an upgrade
A major design upgrade to the Questions page in the dashboard, making it easier to review large sets of user questions and leave feedback to improve the assistant with fewer clicks.
Target Suggestions by date
Suggestions can now be targeted on dates — more than or less than a set time ago, within the next few days, or before/after a specific calendar date — and stack with existing cohort and page URL rules.
Handoff now works with HubSpot tickets and Freshdesk
The Assistant can hand a conversation off into HubSpot tickets or Freshdesk, passing the requester's name, email, and a summary of what they asked and what the assistant already told them.
Introducing the Assist API: Product expertise for the agent you already built
Frigade ships as an API so teams can add product answers and guidance to an agent they already built — one tool call returns a grounded answer or a personalized on-page walkthrough, with every turn routing through your own agent.
What people actually say about Frigade — is it worth it?
We scanned public community sources for Frigade on Jul 4, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Frigade? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI assistant learns your product by signing in and working through real user workflows
- Automatic product change detection with scheduled re-training so answers stay current
- No-code Skills that let the assistant complete tasks inside your product
- Assist API adds Frigade's product expertise to an existing agent in one tool call
- MCP server connects Claude, Claude Code, Cursor, or ChatGPT to your Frigade workspace
- AI-generated tours and walkthroughs highlighted on the live screen across pages and modals
- Generative UI answers users can act on
- Proactive Suggestion nudges delivered before users ask for help
- Date-based Suggestion targeting by signup date, trial end, or specific calendar date
- No manual element tagging — tours and nudges self-heal as your product changes
- Insights that name a single problem, drop when unresolved, and refresh overnight
- Ask-your-data querying about your own Frigade workspace with clickable records
- Human escalation handoff with full session context into help desk and CRM tickets
- Engage drop-in React components for onboarding flows and product tours
- Mobile web assistant with bottom sheet and separately trained mobile agent (early access)
About Frigade
Frigade is an AI product adoption platform built around an in-product Assistant that learns your software the way a new hire would: a browser agent signs in with a real user's permissions, works through the same workflows your customers use, and maps how the pieces connect. Nothing is grounded in help docs written two releases ago — it re-trains every time you ship, so the guidance reflects the UI customers actually have open. It's aimed at mid-market SaaS product, support, and customer success teams who want in-app help that keeps itself current. The Assistant responds three ways depending on the moment: it answers grounded questions, generates a walkthrough on the live screen highlighting the next click across pages and modals, or completes the task itself using Skills — no-code actions the assistant discovers on its own that your team approves before they go live, and which can run self-hosted with your own LLM keys. The Assist API, launched September 8, 2026, is the other route: register Frigade as one tool and a single tool call gives your existing agent product answers and walkthroughs while it keeps its own reasoning and voice, avoiding a second chat box on screen. Beyond the assistant, Engage provides drop-in React components for onboarding flows your team controls, and Insights surfaces what users are asking and where the agent helps. Frigade also added an MCP server on September 30, 2026, so you can connect Claude, Claude Code, Cursor, or ChatGPT to your workspace and query questions, answers, feedback, insights, and users in plain language. Handoff now opens tickets in Intercom, Zendesk, HubSpot, Freshdesk, Pylon, and Salesforce. Growth starts at $1,000/mo with 2,500 queries and 2 unlimited seats, with Enterprise for self-hosting, SSO, EU residency, and up to 100 product agents.
Behind the Verdict
Frigade's bet is that the bottleneck in in-product help isn't answer quality, it's answer freshness. Most in-app assistants ground answers in a knowledge base that trails the shipped UI — the vendor's own homepage illustration makes the point: a help article telling you to click a button that moved, with a 9-month-old screenshot and a 404 on screenshot-1.png. Frigade's answer is a browser agent that signs in with a real user's permissions, works through your workflows, and re-trains on a schedule and on every ship. That's a genuine engineering bet, not a prompt wrapper, and it's why the company ships things like a post on replacing a 24-graph Grafana dashboard with a single Claude Code skill. The three-response model — answer, show, do — maps cleanly to what actually happens in a support conversation. Grounded answers come from the product itself. AI-generated tours highlight the next click across pages and modals with no manual element tagging, which is a real maintenance saving versus building tours element by element. Skills let the assistant run the action: the homepage example has it create a read-only API key scoped to Reports and stage it for approval. Skills are discovered by the assistant, approved by your team, and can run self-hosted with your own LLM keys. The Assist API (September 8, 2026) is the most strategically interesting release. If your team already built an agent, embedding Frigade's widget means two chat boxes and users who can't tell which to use. The Assist API registers Frigade as one tool so a single tool call returns a grounded answer or a personalized walkthrough, with every turn routing through your own agent. The MCP server (September 30, 2026) goes further: connect Claude, Claude Code, Cursor, or ChatGPT to your workspace and query questions, answers, feedback, insights, and users in plain language — or use it to set up and maintain the Assistant in your codebase. The dashboard side is less glamorous but does the daily work. Insights name a single problem, drop automatically when unresolved, and refresh overnight, with fixed categories separating product confusion from knowledge gaps. Ask-your-data querying returns clickable records in the reply. Suggestions now support date-based targeting (September 16, 2026) — gate a tip on signup date, trial end, or a specific calendar date. Handoff opens tickets in Intercom, Zendesk, HubSpot, Freshdesk, Pylon, or Salesforce with requester details and a summary of what the assistant already told them, so your team picks up a warm ticket instead of asking the user to start over. Slack threading keeps follow-ups in one thread. Where it doesn't fit: Engage onboarding components are React-only, so a non-React frontend rules the SDK out. Pre-revenue startups will balk at $1,000/mo. Self-hosting, SSO, EU data residency, and custom DPA are Enterprise-only, which means a security-conscious early-stage team can't stay on Growth. Mobile support exists but the vendor labels mobile web
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Real-world workflow fit
Concrete scenarios for the personas Frigade actually fits — and what changes day-one when you adopt it.
Installs the Assistant SDK in the React app, gives Frigade a test login on staging, and lets the browser agent work through the invite-teammate and billing workflows before pushing to prod. Reviews the assistant's discovered Skills in the dashboard and approves the read-only ones.
Outcome: Repetitive how-do-I tickets start resolving in-product, and escalations land as warm Intercom or Zendesk tickets with requester details and a summary of what the assistant already said.
Uses date-based Suggestion targeting to nudge anyone whose trial ends this week, and builds a prompt-based tour in Engage without tagging page elements by hand.
Outcome: The tour survives a UI refactor because Frigade re-learns the product on the next training run, so nobody rewrites selectors after a release.
Registers Frigade as a single tool through the Assist API so the existing agent calls it for grounded product answers and on-page walkthroughs instead of embedding a second chat widget.
Outcome: One agent stays on screen, users stop asking which assistant to use, and every turn still routes through the team's own reasoning and voice.
Use Cases
- Deflect repetitive 'how do I' questions with an in-app assistant grounded in how your product works today.
- Guide new users through setup with step-by-step walkthroughs that highlight the next click across pages and modals.
- Let the assistant complete repetitive tasks inside your product, like adding a teammate or staging an API key.
- Nudge users toward a feature or unfinished setup step, targeted by signup date or trial end.
- Escalate a conversation into Intercom, Zendesk, HubSpot, Freshdesk, Pylon, or Salesforce with the full session context attached.
- Give an agent you already built live product expertise through one Assist API tool call instead of embedding a second chat box.
- Query your own Frigade workspace in plain language from Claude, Cursor, or ChatGPT via the MCP server.
- Build React onboarding flows and tours your team controls without manual element tagging.
Models Under the Hood
as of 2026-09-30
Limitations
- Growth starts at $1,000/mo and includes 2,500 queries, 2 product agents, and unlimited seats.
- The assistant learns by using your product, so it must be given a login and integrated into your product environment — there's no passive mode.
- Engage onboarding components are React-only.
- Self-hosting, SSO (SAML 2.0), EU data residency, custom DPA and contract terms, custom roles and permissions, and up to 100 product agents are Enterprise-only; the comparison table marks them as not included on Growth.
- Salesforce and Zendesk handoff, webhooks, analytics integrations, the Frigade model configuration, and the mobile SDK also appear as Enterprise-only in the published plan comparison.
- SOC 2 Type II and GDPR compliance are stated, with EU and US hosting.
- Mobile web is early access.
as of 2026-10-01
Verification history
We have re-verified Frigade 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Frigade tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Teams evaluating in-product AI help who want to see Frigade learn their own product before committing budget.
What this tier adds
Free entry point: a live product demo where Frigade learns your product and guides a workflow, with no signup and no engineering lift to try it.
Growth
From $1,000/mo
Ideal for
Funded growth-stage SaaS with a React frontend and enough in-product question volume to justify a dedicated adoption budget.
What this tier adds
Starting tier for production use: 2,500 queries per month, 2 product agents, unlimited seats, Assistant and Assist API, Skills, proactive nudges, and full white label.
Enterprise
Custom
Ideal for
Regulated or higher-volume companies that need self-hosting, SSO, EU data residency, or custom contract terms.
What this tier adds
Adds scale discounts, up to 100 product agents, unlimited queries, self-hosting with your own LLM keys, SSO (SAML 2.0), EU data residency, custom DPA and contract red lines, and custom roles.
Where the pricing makes sense
The company stage and team size where Frigade's pricing actually pencils out — and where peers do it cheaper.
Growth starts at $1,000/mo with 2,500 queries, 2 product agents, and unlimited seats — priced for funded growth-stage SaaS, not pre-revenue teams. Cheaper in-app help widgets and KB chatbots exist for small budgets, but they don't re-learn your product or act. Enterprise is custom-priced with scale discounts for teams needing self-hosting, SSO, EU residency, and up to 100 product agents.
Setup time & first value
How long it actually takes to get something useful out of Frigade — broken out by persona, not the marketing-page minute.
Frigade's own copy describes a 15-minute install: train on staging, then install the SDK in prod, cloud or self-hosted. Expect the first useful answers within hours of the browser agent working through your workflows — Morning Consult reported a working prototype in less than a few hours of automated training. Enterprise self-hosting with your own LLM keys takes longer, and non-React frontends
Switching to or from Frigade
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Intercom Fin: run Frigade Assistant alongside Fin, then move ticket handoff to Intercom with full session context.
- →From Zendesk Answer Bot: point Frigade's handoff at Zendesk so escalations open as tickets with the requester and a summary attached.
- →From a docs-based KB widget: connect your help center and internal docs as a knowledge source, then let the Assistant answer from live product behavior instead.
- →From a hand-rolled in-app agent: register Frigade as one tool via the Assist API so your agent gains product answers without a second chat box.
- →From manual product tours: rebuild them as prompt-based tours in Engage so they no longer depend on hand-tagged elements.
- ↗To Intercom Fin: keep Intercom for ticket handoff and replace the in-product assistant with Fin where your help desk already lives.
- ↗To Pylon: Pylon is already a Frigade integration, so ticket handoff can move without changing the escalation path your team uses.
- ↗To a build-your-own agent: use the Assist API pattern in reverse — keep your agent's reasoning and source product answers from your own retrieval layer.
- ↗To a static KB widget: export your Frigade questions and Insights to seed a help center, accepting that answers will trail the shipped UI again.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Frigade”, and we withheld 6: 6 could not be judged, because “Frigade” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Frigade.
Official links
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Featured Head-to-Head Comparisons
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Frigade vs Presto Voice
Choose Frigade if you run a SaaS product and want to reduce support tickets with an AI that actually uses your app. Choose Presto Voice if you operate drive-thru restaurants and need to automate orders with proven revenue lift. They serve completely different niches — your decision is about your industry, not feature overlap.
Frigade vs B Rokratt
Choose Frigade if you run a SaaS product and need an AI assistant that actively uses your product to guide users and reduce support tickets. Choose Bürokratt if you are an Estonian citizen or e-resident looking for free, secure access to government services via natural language. They serve completely different markets—Frigade is for commercial product teams, Bürokratt is a public service for Estonia.
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