Question 1

What is Hyper?

Accepted Answer

Hyper is an AI-native platform where you connect your tools and work with AI agents that take action, automate processes, and build complete systems from natural language. It combines chat, agents, and a visual workflow canvas in one interface. Agents operate in sandbox environments with real compute, connect to your data, and run 24/7 with persistent memory. For marketing teams, Hyper adds a context layer of decision frameworks, operational knowledge, and specialized tooling that turns general AI agents into marketing experts.

Question 2

How does Hyper work?

Accepted Answer

Everything starts in chat. After connecting your tools, you can ask an agent to do something and it executes immediately, describe a process and it generates a complete workflow, or request a custom agent and it creates one configured for that task. From there, you can refine automations in the visual workflow canvas, set triggers and schedules, and deploy agents across your business.

Question 3

Do I need to know how to code?

Accepted Answer

No. Hyper is a no-code platform. Agents are configured through natural language instructions, and workflows can be generated from plain English descriptions or built visually with drag-and-drop. If you can describe what you want to automate, Hyper can build it.

Question 4

What's the difference between agents and workflows?

Accepted Answer

Agents are AI workers that reason, make decisions, and execute tasks across your connected tools. They maintain persistent memory, learn from context, and operate independently. Workflows are multi-step automations that run on triggers like schedules, webhooks, or events. They can include programmatic logic, agent steps, or both. You can use agents for one-off tasks in chat, embed them as intelligent steps inside workflows, or deploy them to run on schedules. Together, they give you both immediate execution and permanent automation.

Question 5

What AI models does Hyper support?

Accepted Answer

Hyper is model-agnostic. You can choose which AI model powers each agent or workflow — including GPT, Claude, Gemini, and top image and video generation models like OpenAI Sora and Google Veo. The platform continuously updates to include the latest models so you're always working with state-of-the-art AI. Enterprise plans support private model deployment.

Question 6

What integrations does Hyper support?

Accepted Answer

Hyper connects to 60+ applications and growing — including Meta Ads, Google Ads, TikTok, Shopify, Salesforce, HubSpot, Slack, Google Workspace, Klaviyo, WordPress, Webflow, and many more. Once connected, agents can read data, take action, and sync information across your entire stack in real time.

Question 7

Can Hyper launch ads directly on Meta, Google, and TikTok?

Accepted Answer

Yes. Agents connect directly to ad platform APIs and handle the entire lifecycle — campaign creation, audience targeting, budget allocation, creative generation, launch, monitoring, and optimization. You can launch a campaign from a single message without ever opening Ads Manager or Google Ads. Agents also run 24/7 monitoring and surface issues before they impact performance.

Question 8

How does HyperSEO compare to SEMrush or Ahrefs?

Accepted Answer

HyperSEO provides keyword tracking, SERP analysis, and site audits comparable to SEMrush — built into the platform at no extra cost. It also tracks AI search visibility across ChatGPT, Claude, Perplexity, and Gemini, which most traditional SEO tools don't offer yet. The difference is that HyperSEO isn't just a dashboard — it's connected to agents that can act on the data, automatically optimizing content or flagging ranking drops.

Question 9

Can Hyper automate content creation and distribution?

Accepted Answer

Yes. Agents can plan, create, optimize, and publish marketing content across websites, social media, email, and more. This includes generating on-brand static images and video creatives at scale using frontier AI models, publishing to WordPress, Webflow, and social channels, and automating entire content pipelines from ideation to distribution. Built-in scrapers let agents research competitors and trending content before creating.

Question 10

How does Hyper handle marketing analytics and reporting?

Accepted Answer

Agents automate omni-channel tracking, analytics, and reporting across all your platforms. They build custom dashboards with natural language, deliver automated reports via email or Slack on any cadence, and run deep cross-platform performance analysis. Agents write Python, run SQL against data warehouses, and build analysis that normally requires a data team — including creative fatigue modeling, trend prediction, and executive summaries.

Question 11

Can agencies use Hyper for multi-client management?

Accepted Answer

Yes. Hyper supports multi-client campaign management with separate workspaces, unified data pipelines across all clients, and automated reporting via email, Slack, or password-protected dashboards. Agencies typically see 97% time savings on reporting and launch campaigns 30x faster.

Question 12

Can I build custom agents for anything, not just marketing?

Accepted Answer

Absolutely. While Hyper has deep marketing expertise built in, the platform is a general-purpose AI agent builder. You can create custom agents for sales prospecting, CRM management, operations, customer support, data analysis, e-commerce, HR workflows, or anything else. Describe what the agent should do in chat, and Hyper creates it — complete with instructions, tool access, and persistent memory.

Question 13

How do I create a custom agent?

Accepted Answer

Just describe what you need in chat. For example, say 'Create an agent that monitors our Shopify orders, flags anything unusual, and sends me a daily Slack summary.' Hyper generates the agent with the right instructions, tool connections, and schedule. You can then refine its behavior, add guardrails, or expand its capabilities at any time.

Question 14

Can agents operate outside of Hyper?

Accepted Answer

Yes. Agents can be deployed to Slack, embedded on your website, connected via webhook endpoints, or triggered on schedules. They work where your team already operates — you don't have to come back to Hyper to interact with them.

Question 15

Do agents have memory? Can they learn about my business?

Accepted Answer

Yes. Every agent has persistent memory that carries across all interactions. Agents remember past conversations, decisions, and context about your business. You can also give agents knowledge bases with documents, brand guidelines, and operational playbooks so they operate with full understanding of your business.

Question 16

What native tools do agents have access to?

Accepted Answer

Beyond integrations, agents have built-in capabilities: a code interpreter for running Python and SQL, browser automation for navigating and interacting with websites, real-time web search, image and video generation via frontier models, built-in SEO and SERP data, scrapers for Meta Ad Library, Reddit, Twitter/X, and YouTube, a website analyzer for auditing tech stacks and tracking pixels, and a native file system and database for persistent storage.

Question 17

What can I automate with Hyper?

Accepted Answer

Virtually anything your business does across tools. Common use cases include launching and optimizing ad campaigns across platforms, SEO monitoring and content optimization, automated reporting and dashboards, lead generation and CRM updates, content creation and social media scheduling, email marketing automation, competitive research and monitoring, data analysis and business intelligence, internal operations and project coordination, and e-commerce inventory and sales analysis.

Question 18

Can Hyper scrape websites and do research?

Accepted Answer

Yes. Hyper includes built-in scrapers for Meta Ad Library, Reddit, Twitter/X, YouTube (with transcript extraction), and general web scraping via FireCrawl — all included at no extra cost. Agents can also use browser automation to navigate any website, log into accounts with securely stored credentials, and extract data. This makes competitive research, market analysis, and lead generation fully automatable.

Question 19

What plans does Hyper offer?

Accepted Answer

Hyper offers three plans: Starter at $49/month (5 agents, 5,000 credits, 10 concurrent automations), Pro at $99/month (10 agents, 10,000 credits, 20 concurrent automations), and Business at $299/month (unlimited agents, 30,000 credits, team collaboration, priority support). Enterprise plans with custom pricing include SSO, compliance features, dedicated support, and private model deployment. The Starter plan includes a free trial so you can try Hyper risk-free.

Question 20

Is there a free trial?

Accepted Answer

Yes. The Starter plan includes a free trial so you can experience the platform before committing. Connect your tools, build agents, and run automations to see results firsthand.

Question 21

How do credits work?

Accepted Answer

Credits are consumed when agents perform actions — things like making API calls to connected tools, running AI model inferences, executing code, or generating images and videos. Simple tasks use fewer credits, while complex operations like video generation use more. Each plan includes a monthly credit allocation, and you can always upgrade if you need more.

Question 22

Is Hyper secure for enterprise use?

Accepted Answer

Yes. Hyper is built for enterprise reliability with encrypted credential storage, role-based access control (RBAC), single sign-on (SSO), private model deployment, complete audit trails, and real-time monitoring. Guardrails let you require human approval before sensitive actions. All agent activity is visible through agent inboxes and evaluation tools.

Question 23

Does Hyper support team collaboration?

Accepted Answer

Yes. Business and Enterprise plans include team collaboration features with shared workspaces, role-based permissions, and centralized management for agents, workflows, and integrations. Teams can share agents, templates, and dashboards while maintaining proper access controls.

Question 24

How is Hyper different from Zapier or Make?

Accepted Answer

Zapier and Make are trigger-based automation tools where you manually configure each step. Hyper uses AI agents that reason, adapt, and make decisions — you describe what you want in plain English and agents build and execute the automation. Hyper also includes built-in AI capabilities (content generation, code execution, web browsing, image/video creation) that Zapier and Make don't offer natively.

Question 25

How is Hyper different from ChatGPT or Claude?

Accepted Answer

ChatGPT and Claude answer questions. Hyper agents take real action across your actual business tools — launching campaigns, updating CRMs, generating reports, publishing content, and managing workflows. Hyper agents have persistent memory, connect to 60+ tools, run on schedules, and create permanent automations. They operate inside your business, not just inside a chat window.

Question 26

How is Hyper different from marketing point tools like Funnel.io, Plai, or Madgicx?

Accepted Answer

Point tools solve one problem — Funnel.io for reporting, Plai for ad management, Madgicx for optimization. Hyper replaces an entire stack of 5-7 specialized tools with one platform where agents share context across creative generation, campaign management, analytics, SEO, and reporting. Intelligence flows between functions instead of being siloed, and everything is managed through natural language.

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