In-depth comparison of onlyTG multi-project management and permission isolation: How TG-Staff achieves more flexible Bot operations
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TG-Staff 致力于为 Telegram Bot 运营团队提供高效、可靠的客服与营销 SaaS 工具。
onlyTG In-depth comparison of multi-project management and permission isolation: How TG-Staff achieves more flexible Bot operations
Operating multiple Telegram Bots is the norm for many teams—whether e-commerce brands use different Bots to handle pre-sales and after-sales, Web3 projects distinguish community operations and transaction notifications, or marketing teams set up exclusive entrances for different channels. However, when the number of Bots increases from 1 to 3, 5 or even more, management pain points will emerge: mixed agent accounts lead to out-of-control permissions, lack of rules for session allocation, and sensitive data (such as user wallet addresses) may be mistakenly sent. This article will objectively compare the differences between onlyTG and TG-Staff in onlyTG multi-project management and permission isolation, and help you find a solution suitable for your team.
Why do we need multi-Bot project management and permission isolation?
Let’s look at a typical scenario: a cross-border e-commerce company operates three Telegram Bots—a pre-sales consultation Bot for European and American users, a Bot for after-sales and returns, and a test Bot for internal customer service training. The team has 5 agents, each responsible for different time zones.
- Permission confusion: If all agents have access to all Bots, the test Bot conversation may be mistakenly sent to the official channel, or the after-sales agent may see the pre-sales business strategy information.
- Data leakage risk: Web3 projects are particularly sensitive - agents mistakenly send encrypted wallet addresses during conversations, which may lead to asset loss or compliance issues.
- Low collaboration efficiency: There are no session diversion rules, multiple agents grab the same user at the same time, or there is no one to take over during peak hours.
The core requirements of multi-project management and permission isolation are precisely: **Let the right people, in the right Bot projects, do the right things while preventing errors from happening. **
onlyTG multi-project functionality overview
onlyTG is a lightweight Telegram Bot management tool that supports basic multi-Bot management and message forwarding. Its core positioning is to help individuals or small teams centralize messages from multiple Bots into one interface for processing.
Project switching and basic permissions of onlyTG
- Project switching: Users can add multiple Bot Tokens in the console, switch between different projects through the drop-down menu, and view the message list of each Bot.
- Basic permissions: onlyTG’s permission control is mainly based on “user roles” - for example, administrators can manage all Bots, and ordinary members can only view assigned projects. However, this kind of role division is relatively rough, usually only distinguishing between “owner” and “member”.
Limitations of onlyTG in multi-team collaboration
- Lack of independent agent concept: All members share the same console login, and it is impossible to create independent accounts and permission configurations for each agent. This means that the operation records of Sitting A and Sitting B are difficult to trace, and once a problem occurs, the responsible person cannot be quickly located.
- No project-level granular permissions: Permissions can only be assigned based on the “project” as a whole, and it is not possible to further restrict an agent within the project to only view specific types of sessions (for example, only view marked VIP users).
- Lack of internal control audit: onlyTG does not provide message content monitoring, risk word blocking or operation audit logs. If an agent mistakenly sends sensitive information (such as a payment address), the team cannot prevent it beforehand, and it is difficult to track it afterwards.
TG-Staff The differentiated advantages of multi-project management and permission isolation
Different from onlyTG, TG-Staff has been designed for multi-agent collaboration scenarios from the beginning, taking permission isolation, session offloading and internal control management as its core capabilities.
Independent agent account and project-level permission configuration
TG-Staff introduces the Staff Seat mechanism:
- Each agent has an independent login account and password, and receives Telegram users through the web console or mobile terminal.
- In the project settings, the administrator can configure the customer service scope as “All Customer Service” or “Specified Customer Service”. For example: Open Bot A’s customer service permissions only to Agents A and B, and Agent C will not be able to see any of Bot A’s sessions.
- Agents cannot see each other’s private notes (Professional version feature) to further protect internal communication information.
This design means: **An agent can only access one or more Bot projects for which he is authorized, and the scope of operations is limited by the administrator’s configuration. ** This is a basic but critical permission isolation capability for teams with multiple business lines or customer tiers.
Session offloading and distribution strategies ensure collaboration efficiency
When multiple Bots consult concurrently, how to ensure that each user can be consulted in time? TG-Staff provides two diversion rules:
- Allocation in turns (default): New sessions are allocated to authorized agents in order, suitable for scenarios where the number of agents is stable and the workload is balanced.
- Online Priority: Priority will be assigned to the currently online and idle agents; if all agents are offline, it will fall back to rotational assignment. Suitable for teams with irregular agent schedules.
In addition, Diversion Link is a unique advantage: you can generate an official domain name short link (such as https://app.tg-staff.com/{code}) for each Bot. After the user clicks it, it will jump to the Bot conversation. The system will capture the visitor’s IP, browser information and URL parameters. This means:
- Advertising attribution: distinguish users brought by different channels (such as Facebook ads vs. search engines).
- Multi-channel traffic diversion: The same Bot can be used with multiple diversion links to track the conversion effects of each channel.
- Peak acceptance: Cooperate with the diversion rules to ensure that users will not be missed during peak consultation times.
For onlyTG users, these functions usually require additional development or access to third-party tools to implement.
Content risk control and internal control audit: Beyond basic permissions
The internal control management functions provided by TG-Staff Professional Edition are capabilities that onlyTG does not have at all:
- Risk word monitoring: Administrators can configure sensitive keywords (such as specific TRC20/ERC20/BTC addresses or address fragments) in risk phrases. When an agent sends a message, the system will detect it in real time: when a risk word is hit, a pop-up window will ask for a second confirmation or directly prevent the message from being sent.
- Trigger record audit: All risk word trigger events will be recorded, including the triggering agent, the session to which it belongs, the trigger time and the specific risk word. Administrators can view audit logs at any time to quickly locate problems.
- Wallet address interception: For Web3, exchanges, and NFT project teams, this function is particularly important - it can prevent agents from sending payment addresses by mistake or in violation of regulations during conversations, and reduce asset security risks.
Simply put: onlyTG only solves the problem of “who can see which Bots”, while TG-Staff further solves the problem of “the agent cannot say anything during the conversation”.
Core function comparison table: onlyTG and TG-Staff
| Functional dimension | onlyTG | TG-Staff |
|---|---|---|
| Multi-project management | Supports adding and switching of multiple Bots | Supports multiple projects, 3/5/20 seats per package |
| Independent agent account | Not supported (shared account) | Supported, each agent logs in independently |
| Project-level permissions | Coarse-grained role assignment | Supports fine configuration of “all customer service” or “specified customer service” |
| Session offloading | No built-in offloading rules | Two strategies: rotation allocation / online priority |
| Diversion link (attribution) | Not supported | Available in standard version and above, supports IP and URL parameter capture |
| Content risk control | None | Professional version: risk word monitoring, wallet address interception, trigger record auditing |
| Automatic translation | Undisclosed description | The standard version includes AI translation, and the professional version supports Google/DeepL professional translation |
| Batch messages | Undisclosed description | Batch reach by user groups |
| Payment method | Undisclosed description | Stripe subscription + USDT (TRC20) on-chain payment |
| Package and trial | Undisclosed description | Free trial for 3 days; standard version is about 8.99/month, professional version is about 16.99/month (see the official website package page for details) |
Select suggestions
If you have a team of only 1–2 bots and only need basic management, onlyTG may be enough. But if you need multi-agent collaboration, refined permissions, session offloading or internal compliance control, TG-Staff provides a more complete solution. It is recommended to choose based on team size and business complexity.
Scenario case: Team experience migrating from onlyTG to TG-Staff
The following is a fictional scenario to illustrate changes after actual migration, not a real customer case.
A Web3 trading platform team initially used onlyTG to manage 3 Bots (User Support Bot, VIP Customer Bot, and Internal Notification Bot). The team has 4 agents, but since onlyTG does not support independent agent accounts, all agents share the same console login. The problem gradually emerged:
- Agent A mistakenly replied the message from the test bot to the official user support bot, causing user complaints.
- An agent accidentally sent the team’s new wallet address during the conversation. Although it was withdrawn in time, it was screenshotted and spread by the user.
- During peak hours, multiple users consulted at the same time, and agents competed with each other for sessions, causing some users to wait for more than 10 minutes.
After migrating to TG-Staff, the team made the following changes:
- Create an independent account for each agent, and open the user’s Bot support permissions only to agents A and B. The VIP Bot is open to agents C and D. The internal notification bot is only visible to administrators.
- Enable the “online priority” offloading rule to ensure that each new session is allocated to idle agents first.
- Configure the risk phrase, add all wallet addresses of the team to the monitoring list, and a pop-up window will pop up when the agent sends the message to prevent mis-sending.
- Generate diversion links for different advertising channels, track user sources, and subsequently optimize delivery strategies.
In the first month after the migration, the team reported that session response times dropped from an average of 8 minutes to 3 minutes, no misdirected messages occurred, and ad budgets were optimized by offloading link data.
FAQ
**Q: Which is more suitable for multi-Bot teams, onlyTG or TG-Staff? ** A: Depends on team size and collaboration needs. onlyTG is suitable for individuals or small teams to manage a small number of Bots; TG-Staff provides independent agent accounts, project-level permissions, session offloading and internal control audits, and is more suitable for collaborative teams of more than 3 people.
**Q: How is the number of TG-Staff seats limited? ** Answer: TG-Staff supports different seat quotas according to packages: the standard version supports 3 seats, and the professional version supports 20 seats. Each agent can log in to the web console independently and receive different Telegram users.
**Q: Does TG-Staff support opening the customer service permissions of a certain Bot to only specific agents? ** Answer: Supported. In the project settings, you can configure the customer service scope as “designated customer service” to only allow the selected agent to handle the Bot’s session to achieve permission isolation.
**Q: Does onlyTG have content risk control function? ** Answer: Currently onlyTG does not provide internal control management functions similar to TG-Staff Professional Edition. TG-Staff’s risk word monitoring and wallet address blocking are important compliance tools for Web3/cryptocurrency teams.
**Q: What payment methods does TG-Staff support? ** Answer: Supports Stripe subscription payment (credit card/debit card) and USDT (TRC20) on-chain payment, suitable for users who prefer cryptocurrency payment.
Summary and next steps
The core difference between onlyTG and TG-Staff lies in “management depth” - the former solves the problem of “gathering messages from multiple Bots into one place”, while the latter solves the problem of “how to enable multiple agents to collaborate safely, efficiently and compliantly”. If you are experiencing permission confusion, uneven session distribution, or compliance risks in multi-bot operations, TG-Staff’s independent agent mechanism, project-level permissions, session offloading, and internal control management may be a solution worth trying.
Try TG-Staff now
Sign up for a 3-day free trial, no credit card required. Go to Console to start managing your multi-Bot projects, or contact @tgstaff_robot for consultation.
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