Create intelligent AI agents
without code, in minutes
- No code
- Ready integrations
- Process automation
- Security
RAG / Vector databaseBrowserLong-term memoryShort-term memoryMCP servers / own toolsMulti-model (GPT, Claude, ...)API - External integrations
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Why does it matter?
Manual automation is a waste of time and prone to errors.
- Manual tasks = missed opportunities.
- Integrations are too difficult for non‑tech teams.
Our solution
Simple agent builder with ready integrations.
In a few steps you'll configure an agent that reads emails, schedules meetings and works with spreadsheets — without a single line of code.
How it works
A few simple steps to launch your own agent
1
Choose a template or start from scratch.
Quick starts with ready templates or full freedom to create.
2
Connect Gmail, Calendar, Sheets — and other tools.
Seamless integrations with popular services, no code.
3
Define rules and objective — start the agent.
Define rules and the agent will start working immediately.
4
Add documents to the vector database.
Upload PDF/CSV/text so the agent can search knowledge (RAG).
5
Enable memory and browser.
The agent keeps session context and fetches current data from the internet.
6
Monitor and optimize.
Analyze action logs and improve rules and data sources.
Fast. Secure. Practical.
Ready connections to the tools you use
Gmail
Email handling and automatic replies
Google Calendar
Managing meetings and reminders
Google Sheets
Saving data, reports and exports
Own tools (API/custom)
Ability to connect custom integrations
Browser
Agent access to scan and fetch content from the internet in real time
Vector database
Indexing documents and fast semantic search (RAG)
Long-term memory
Persistent storage of context and agent decisions
Short-term memory
Session context of conversations and current activities
What you gain
More time for strategic decisions
Fewer errors and repetitive tasks
Scalable automation without an IT department
Transparency of operations and access control
Better decisions thanks to up-to-date internet data
Fast responses based on company documents (RAG)
Consistent context thanks to short- and long-term memory
Flexible scaling of agents as load increases
Real scenarios
Sales assistant
Qualifies leads and schedules demos
HR assistant
Initial candidate screening, interview scheduling
Operations
Spreadsheet updates, notifications, reports
Market research
The agent uses the browser to collect current data and trends
24/7 customer support
Responses from the vector database based on documents and FAQs
Document analysis
Extraction of key points from legal and technical files
Cyclical reporting
Automatic generation of reports from multiple data sources
Examples
Spreadsheet updates and query handling
Updating a Google Sheet from the inventory system, then the agent answers user questions about product availability, records customer inquiries and their contacts in the sheet, and notifies them when an interesting product/service appears.
Competitor monitoring and price alerts
The agent periodically scans competitors' sites (browser + RAG), updates a sheet with prices, and on significant changes sends an alert to Slack / email and suggests a recommended action.
Lead handling and follow-up
The agent receives inquiries from a web form / email, qualifies the lead (RAG + rules), adds it to the CRM / sheet, proposes an initial reply and schedules follow-up if there's no response.
Privacy and control first
Full permission control. Activity logs. Compliance with security best practices.
Customer testimonials
“
After a week we had an agent that automatically categorizes emails and updates the sales spreadsheet. We save 2 hours of work per day.
“
No-code integrations really work. Onboarding a new process took a few minutes instead of 2 days of dev work.
“
An agent with long-term memory began proposing task priorities based on the team's previous decisions.
“
Thanks to report automation we have them ready in the morning before the board meeting — no overtime work.
“
Deploying an agent for initial CV screening reduced recruitment time by 30%.
“
Browser + RAG allowed us to react faster to competitors' price changes.
“
After a week we had an agent that automatically categorizes emails and updates the sales spreadsheet. We save 2 hours of work per day.
“
No-code integrations really work. Onboarding a new process took a few minutes instead of 2 days of dev work.
“
An agent with long-term memory began proposing task priorities based on the team's previous decisions.
“
Thanks to report automation we have them ready in the morning before the board meeting — no overtime work.
“
Deploying an agent for initial CV screening reduced recruitment time by 30%.
“
Browser + RAG allowed us to react faster to competitors' price changes.
Simple model — you pay for what you use
Free trial plan and flexible paid plans for teams and companies.
No card required to start • You can cancel at any time • No hidden fees
FAQ
What is this solution and what is it for?
This is a platform for creating intelligent AI agents without code — in minutes you configure an agent that automates repetitive tasks, handles emails, schedules meetings, updates spreadsheets and performs research-type tasks.
How do I start using the platform?
Start by choosing a template or creating an agent from scratch, connect the tools you use (Gmail, Calendar, Sheets, etc.), define rules and the agent's objective, add documents to the vector database if you need RAG, enable memory/browser and run the agent.
Does it really require no coding?
Yes — the platform offers a builder with ready integrations and templates, so configuring an agent is done without a single line of code. Advanced options are also available for technical teams (API, custom tools).
Which tools can I integrate the agent with?
Ready integrations include Gmail, Google Calendar, Google Sheets, Slack, and the ability to connect your own APIs and tools (custom integrations).
What is RAG and a vector database and how does it work here?
RAG (retrieval-augmented generation) uses a vector database to index documents (PDF, CSV, text). When queried, the agent searches semantically related document fragments and uses them to generate precise answers based on company sources.
What are short-term and long-term memory?
Short-term memory stores session context and the agent's current actions to maintain dialogue coherence. Long-term memory saves persistent information and decisions that the agent can use later for better recommendations and automation.
Does the agent have internet access and can it browse pages in real time?
Yes — the browser feature allows the agent to fetch up-to-date data from the internet, useful for market research, competitor monitoring or collecting current information.
How does the platform ensure data security and privacy?
The platform offers permission controls, activity logs, compliance with security best practices and the ability to configure data access. Additionally, you can use your own servers and tools if internal rules require it.
How to monitor and optimize agents' performance?
The platform provides activity logs and analytics tools so you can track completed tasks, evaluate the effectiveness of rules and data sources, and iteratively improve agent rules and configuration.
What are typical use cases?
Examples include: a sales assistant qualifying leads and scheduling demos, an HR assistant for CV pre-screening, automatic spreadsheet updates and reporting, competitor monitoring and price alerts, 24/7 customer support using RAG, or automatic document extraction.
How much does it cost and is there a free trial?
A free trial plan is available without a card. The platform offers flexible paid plans for teams and companies billed according to usage. You can cancel anytime — no hidden fees.
Do I need an IT team to deploy agents?
No — the no-code builder and ready integrations allow non-tech teams to quickly configure an agent. Advanced options like API and custom integrations are available for technical teams.
Can I connect my own API or use my own servers?
Yes — the platform allows integration with your tools via API and the option to use your own servers/MCP servers if you want full control over infrastructure.
How quickly can I have a working agent?
Many simple agents can be launched in minutes using ready templates and integrations. More complex scenarios with RAG, long-term memory and custom integrations may require additional configuration.