AI Agent
AI Agent is a no-code workspace where goal-driven AI agents connect your tools, work autonomously, and pause for your approval.
For teams drowning in chat-plus-automation-plus-tables-plus-docs sprawl, AI Agent is a coherent consolidation play — and the Company Brain plus approval gates are the parts that earn their keep. Agents get real context and still can't fire an email or open a ticket without you. The Start tier at $40/mo (yearly) is fair, but 2 projects and 2 concurrent runs cap real parallelism, so budget for a jump if you want agents running wide.
Verified 3d ago · liveness 79/100 · cite: rightaichoice.com/tools/ai-agent
- Marketing teams running a weekly content calendar and funnel review on autopilot
- Support teams triaging Gmail and Slack threads behind an approval gate
- Growth teams pulling PostHog or funnel data into recurring weekly reports
- Sales teams doing prospect research and founder-voice outbound sequences
- Teams needing deterministic, line-by-line auditable automation recipes like Zapier or Make
- Enterprises with strict on-premise or data-residency requirements — this is cloud-only
- Heavy API users who need uncapped concurrent runs on a starter budget
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Skip AI Agent if you need deterministic, step-by-step auditable automation recipes with no human approval gate — Zapier or Make model that better.
Generation is credit-metered, so heavy agent use adds credit spend on top of the plan price.
Free tier for trying one agent, Start at $40/mo billed yearly for solo operators and small teams, Teams at $79/user/mo when you need centralized billing, shared context, and SSO, and custom Enterprise terms for large volume or bespoke connections. Cheaper than a full-time hire or a $1,999/mo Done For You build; comparable to mid-market agent platforms, but Start's 2-project and 2-concurrent-run caps mean real parallelism costs more.
In short
AI Agent — AI Agent is a no-code workspace where goal-driven AI agents connect your tools, work autonomously, and pause for your approval. Best for Marketing teams running a weekly content calendar and funnel review on autopilot, Support teams triaging Gmail and Slack threads behind an approval gate, Growth teams pulling PostHog or funnel data into recurring weekly reports. Free to start; paid plans from $40/mo.
What's new in AI Agent
Checked 2 days agoAcross the latest 5 updates: 1 feature update, 1 pricing change and 3 changelog entries.
Pull request chips added to ticket cards and list rows
Board cards and list rows show a ticket's pull request status without opening it. Pasted PR links stay unverified and cannot change ticket status until GitHub confirms them.
GitHub moves to its own Connections page
GitHub gets a dedicated Connections page replacing the Configure GitHub dialog, with connect/reconnect/disconnect and repo review; tickets no longer offer to file GitHub issues.
Project icons can be chosen from switcher or Brand identity panel
Projects can now set a custom icon via the project switcher or Brand identity panel — search, site favicon detection, or PNG/JPEG/WebP/GIF upload up to 2 MB.
Billing changes follow plan upgrades, downgrades and disputes
Upgrades add the prorated credit difference rather than resetting the pool; downgrades take effect at period end; disputed payments pause collection and top-up packs require an active subscription.
Approval cards now show all arguments; run timer fixed
Approval cards list every argument, recipient and attachment; edited email drafts send as edited. Agent run timer no longer adds extra hours outside UTC.
What people actually say about AI Agent — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
104 mentions across 7 sources (Hacker News, YouTube, Product Hunt, App Store, Stack Overflow, Lemmy, Tech Press) · researched Jul 29, 2026.
Average across the 7 sources that answered — each source counts once, not each post.
- +No-code builder makes agent creation accessible to non-developers.
- +Integrates with Gmail, Slack, Notion, Dropbox, and many tools.
- +Autonomous goal-driven task execution saves time on repetitive work.
- +Personal knowledge ecosystem enables persistent memory across sessions.
- +Some users find it life-changing for small business automation.
- −Credit system is opaque and consumes credits too fast.
- −Unused monthly credits do not carry over, causing waste.
- −Customer support is unresponsive, especially for billing issues.
- −No offline mode limits use when disconnected.
- −Advanced features like scheduling and multi-agent are still coming soon.
- • Unused monthly credits are forfeited at renewal
- • Overage credits cost extra, but per-credit price is opaque
- • Pro tier may still be insufficient for 'deep research' tasks
Viability Score
How well maintained and how widely used is AI Agent? 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
- No-code AI agent builder with a Connect → Brief → Work → Review loop
- Goal-driven autonomous task execution with approval nodes that pause runs
- Agent squads that delegate work to specialist agents
- Scheduled autopilots running daily, weekly, or on an event trigger
- Templates catalog with 72 ready-made agents for sales, marketing, and engineering
- Company Brain shared context for product DNA, brand identity, and voice
- Typed Tables with formulas, relations, lookups, and rollups that agents compute
- Board and Inbox surfaces for tickets and triaged messages
- Creative Canvas pipelines for image, video, and audio generation
- GPT Image 2.5 available on Creative Canvas for text-to-image and edit generations
- Model picker spanning GPT-6 Luna/Sol/Astra, Claude Opus 5.5 and Fable 5.1, Grok 4.7, Gemini 3.8 Flash
- Workflow and autopilot edits saved as publishable drafts
- Bring your own keys for Anthropic, Google Gemini, xAI, OpenRouter, and Vercel on paid plans
- Mobile-friendly dashboard, Board, and peeks with a flat sidebar layout
- Agent Activity feed tracking tokens, credits, and artifacts per run
About AI Agent
Most teams run their AI in four different tabs: chat in one, automations in another, tables somewhere else, docs somewhere else again. AI Agent folds all four into a single workspace where the same goal-driven agent answers you, runs your workflows, queries your tables, and reads your docs. It's built for marketing, support, sales, and operations teams who want agents doing real work — not just generating text. The core loop is the same for every agent: Connect your tools, Brief it with a goal, let it Work autonomously, then Review results before anything ships. A model tier picker spans OpenAI (GPT-6 Luna, GPT-6 Sol, GPT-6 Astra), Anthropic (Claude Opus 5.5, Claude Sonnet 5, Claude Haiku 4.5, Claude Fable 5.1), xAI (Grok 4.7, Grok 4.3), and Google (Gemini 3.8 Flash). Agents group into squads that delegate to specialists, and scheduled autopilots run daily, weekly, or on an event. A Templates catalog ships 72 ready-made agents for sales, marketing, and engineering, while the Company Brain grounds runs in shared product DNA, brand identity, and writing voice. Typed Tables with formulas and relations let agents compute cells and update columns; the Board and Inbox surfaces give tickets and triaged messages a home. Creative Canvas turns prompts, models, and references into repeatable image, video, and audio pipelines, and bring-your-own-key support covers Anthropic, Google Gemini, xAI, OpenRouter, and Vercel — those requests skip the model multiplier on paid plans. Pricing runs from a free tier to Start at $40/mo billed yearly, Teams at $79 per user per month for centralized billing and shared context, and custom Enterprise terms. Done For You plans start at $1,999/month for a workflow built by their team in 30-60 days. It's a supervised alternative to fully hands-off agent frameworks and a goal-oriented alternative to step-by-step automation builders like Zapier or Make.
Behind the Verdict
The honest question with any agent platform is whether the agents do anything useful or just look busy. AI Agent's answer is the Connect → Brief → Work → Review loop, and it's a reasonable one: the agent pulls from connected tools, plans a sequence, executes, and stops at an approval node before shipping. Whether you trust that gate is the whole ballgame. Where it earns a place: teams already paying for ChatGPT or Claude plus Zapier plus Airtable plus Notion and tired of context living in four places. The Company Brain (product DNA, brand identity, voice) is what makes drafts sound like your team rather than a generic model, and squads that delegate to specialists cover multi-step jobs without you manually chaining prompts. Pick this when: marketing wants a weekly content and funnel-review rhythm on autopilot, support wants Gmail and Slack triage with a human approving replies, growth wants PostHog funnels pulled into a recurring report, or a small team wants chat, automation, tables, and docs in one subscription. Pass when: you need deterministic, line-by-line auditable recipes — Zapier and Make still win there. If you require on-prem or strict data residency, this is cloud-only. And heavy API users who want uncapped concurrent runs on a starter budget should look elsewhere or plan for Max or Enterprise. The tradeoffs we'd flag. Every plan covers a growing range of work — email, research, reports, data entry, full multi-step workflows — but Start's 2 projects and 2 concurrent runs per workflow are the real ceiling, not the usage multiplier. Teams tier is governance (central billing, shared context, SSO, usage analytics) rather than bigger limits, so don't expect it to unlock more parallelism. Editing a live workflow or autopilot now saves as a draft you publish,
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Real-world workflow fit
Concrete scenarios for the personas AI Agent actually fits — and what changes day-one when you adopt it.
Brief a Content Scout agent with this week's keyword list, feed it the Company Brain for voice and ICP, and let it draft outlines while you review.
Outcome: Drafts land in the Board with an approval node before publishing; you approve or send back, and the agent files the finished post as a ticket.
Connect Gmail and Slack, route both into the Inbox, and set an agent to draft replies to common questions with an approval gate.
Outcome: Every channel lands in one already-triaged queue; replies queue for your yes or no before anything sends.
Connect PostHog and Stripe, schedule an autopilot for Monday morning, and have the agent compute the biggest activation leak into a Table column.
Outcome: A weekly leak report arrives as a ticket with numbers already in the Table, and you approve the suggested fix.
Use Cases
- Automate SEO content planning and full article generation from keyword research.
- Create a sales agent to prospect, enrich leads, and run founder-voice outreach sequences.
- Schedule an agent to run daily reports and email summaries to your team.
- Build a multi-agent squad to research, draft, and review marketing collateral.
- Use a personal agent to manage your calendar, prioritize email, and summarize meetings.
- Connect Gmail and route replies into one Inbox with an approval gate before sending.
- Monitor PostHog and Stripe funnel data and file a weekly leak report as tickets.
- Install a template agent instead of building from a blank page — 72 ship in the catalog.
Models Under the Hood
as of 2026-10-17
Limitations
- Cloud-based no-code workspace that requires connecting your own tools and data (GitHub, Gmail, Telegram, Airtable, Linear, Google Drive, Notion) to do work.
- Start plan ($40/mo billed yearly) caps you at 2 projects, 5 scheduled jobs per day, and 2 concurrent runs per workflow, while Teams ($79/user/mo) is framed as governance rather than bigger limits and Enterprise offers custom scope and SLA.
- Agent runs pause at approval steps, so output pace depends on human review and credit usage.
as of 2026-10-08
Verification history
We have re-verified AI Agent 9 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
Showing the 6 most recent of 9 verification passes.
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 AI Agent 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
Someone testing whether a goal-driven agent fits their workflow before committing to a paid plan.
What this tier adds
Starting tier with basic agent automation, core integrations, and limited projects and scheduled jobs.
Start
$40/mo billed yearly (save $98)
Ideal for
Solo operators and small teams automating a handful of recurring tasks, billed yearly.
What this tier adds
Adds Pro Max 1x usage, 2 projects, 5 scheduled jobs per day, and 2 concurrent runs per workflow for $40/mo billed yearly.
Teams
$79/user/mo
Ideal for
Teams that need centralized billing, shared company context, and SSO rather than bigger raw limits.
What this tier adds
Adds centralized billing and admin, shared team context, SSO, usage analytics, and a personal agent per member at $79/user/mo.
Enterprise
Custom
Ideal for
Organizations with custom volume, bespoke connections, or SLA and onboarding requirements.
What this tier adds
Adds custom usage and credit volume, bespoke connections, SLA and onboarding, and a dedicated account manager on custom terms.
Done For You (Basic)
Starting at $1,999/mo
Ideal for
Businesses that want a custom AI workflow built for them rather than building it in-house.
What this tier adds
Adds a 30-minute strategy call, one custom workflow per month, launch and team training, 2 revision rounds, and 48-hour response at $1,999/mo.
Where the pricing makes sense
The company stage and team size where AI Agent's pricing actually pencils out — and where peers do it cheaper.
Free tier for trying one agent, Start at $40/mo billed yearly for solo operators and small teams, Teams at $79/user/mo when you need centralized billing, shared context, and SSO, and custom Enterprise terms for large volume or bespoke connections. Cheaper than a full-time hire or a $1,999/mo Done For You build; comparable to mid-market agent platforms, but Start's 2-project and 2-concurrent-run caps mean real parallelism costs more.
Setup time & first value
How long it actually takes to get something useful out of AI Agent — broken out by persona, not the marketing-page minute.
Solo operator: connect Gmail and one more tool, then brief your first agent — expect roughly 30-60 minutes to first useful output. Team rollout: add shared context, members, and a Board, so plan on a day or two before autopilots run unsupervised. Done For You: their team builds the custom workflow in 30-60 days.
Switching to or from AI Agent
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Zapier or Make: keep your recipes running, then rebuild the repeatable ones as AI Agent workflows with approval nodes on the write steps.
- →From Notion or Confluence: bring docs in as knowledge sources and link them to agents through the Company Brain.
- →From Airtable: recreate base structure as typed Tables so agents can compute cells and update columns directly.
- →From a standalone chat assistant: add connection tools, then move recurring prompts into scheduled autopilots.
- ↗To Zapier or Make: export workflow logic and rebuild as deterministic step-by-step recipes if you need auditable automation.
- ↗To a self-hosted agent framework: export agent instructions, skills, and routines, then rewire connections in your own runtime.
- ↗To a docs-only tool like Notion: move Tables and Board tickets out and keep docs where they already live.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “AI Agent”, and we withheld 6: 6 could not be judged, because “AI Agent” 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 AI Agent.
Official links
Tools that pair well with AI Agent
Common stack mates teams adopt alongside AI Agent, with the specific reason each pairing earns its keep.
Agent.ai
No-code AI agents for HubSpot and CRM workflows, with a 19-action BuilderPack for HubSpot Agent Builder.
Cassidy
Cassidy builds no-code AI agents and workflows that automate document-heavy insurance, benefits, and industrial processes.
Genspark
Genspark is an agentic AI workspace that turns one prompt into cited answers, slide decks, dashboards and live web apps.
Featured Head-to-Head Comparisons
Ai Agent vs Toolhouse
Choose AI Agent if you prefer a visual no-code builder to design agents with custom knowledge and approve actions before they execute—ideal for teams wanting control. Choose Toolhouse if your team lives in email and needs a hands-off, always-on 'worker' with vast integrations and zero interface complexity. Toolhouse's $500+ entry fee makes it best for those with automation budget; AI Agent's freemium model suits smaller experiments.
Ai Agent vs Locus Robotics
Choose Locus Robotics if you run a high-volume warehouse needing physical AMRs for 2-3x productivity gains. Choose AI Agent if you want to automate digital tasks (content, research, outreach) with custom agents at low cost. They serve completely different needs — one automates physical fulfillment, the other digital workflows.
Ai Agent vs Presto Voice
If you run a QSR chain and need to automate drive-thru ordering with proven ROI (e.g., up to 6% revenue lift), Presto Voice is purpose-built and enterprise-ready. For digital task automation across marketing, sales, or operations, AI Agent offers flexibility and a free start but carries recent security warnings. Choose based on your domain: physical drive-thru vs. digital workflows.
Ai Agent vs Truleo
Truleo is the right choice for law enforcement agencies needing to connect siloed data and automate investigative workflows, while AI Agent is more suitable for general business automation. Choose Truleo if you work in law enforcement and require CJIS-compliant intelligence with real-time alerts; choose AI Agent for broader automation of marketing, sales, or research tasks. However, recent news about AI Agent security issues may give enterprise buyers pause.
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