Founder
Slack-to-Telegram Bridge β Team Messages Without Opening Another App
Key Takeaway
An AI agent bridges Slack and Telegram bidirectionally β forwarding important Slack messages to Telegram and posting Telegram replies back to the right Slack channel.
The Problem
My team uses Slack. I live in Telegram. This is not a preference β it's an architecture. All 31 agents report through Telegram. All personal communications happen in Telegram. My entire command interface is Telegram.
But the team is on Slack. And Slack demands presence. If you don't check it every 30 minutes, you miss things. Important things. Decisions made without you. Questions that needed your input. Context that drifted because you weren't in the room.
The standard advice is "just check Slack regularly." But regular Slack checks are poison for deep work. Every time I switch to Slack, I see 6 channels with unread messages. I read them. I reply to two. I get pulled into a thread. Twenty minutes gone. I was supposed to check one thing.
Context switching costs are real and measurable: 23 minutes to regain focus after an interruption (UC Irvine research). If I check Slack 8 times a day, that's potentially 3 hours of fragmented focus. For what? Most of those messages didn't need me.
The Solution
Alfrawd monitors Slack and forwards only the messages that matter to my Telegram. I can reply from Telegram, and the agent posts my response back in the correct Slack channel. I never open Slack. The team never notices I'm not there.
The Process
Step 1: Slack monitoring configuration
yamlShow code
# Slack bridge config
slack_bridge:
workspace: "pyratzlabs"
# What gets forwarded to Telegram
forward_rules:
always:
- type: "direct_message"
- type: "mention" # @bilal
- type: "thread_reply" # replies to my messages
channels:
- "#leadership" # Always forward
- "#product-decisions" # Always forward
- "#incidents" # Always forward
keywords:
- "urgent"
- "blocker"
- "decision needed"
- "deploy"
# What gets silently ignored
ignore:
- "#random"
- "#social"
- type: "bot_message"
- type: "channel_join"
Step 2: Message formatting for Telegram
View details
# Slack message arrives in #product-decisions from Sarah:
"@bilal the API redesign is blocked on your input.
Option A: REST with versioning. Option B: GraphQL.
Team is split 3-3. Your call."
# Agent forwards to Telegram as:
π¬ Slack β #product-decisions
Sarah: "@bilal the API redesign is blocked on your input.
Option A: REST with versioning. Option B: GraphQL.
Team is split 3-3. Your call."
Reply here β I'll post in #product-decisions
Step 3: Bidirectional reply
I reply in Telegram:
View details
Option A. REST with versioning. Simpler for external devs.
Ship it, don't over-engineer.
Agent posts in Slack #product-decisions:
View details
Option A. REST with versioning. Simpler for external devs.
Ship it, don't over-engineer.
β Bilal (via mobile)
Step 4: Thread handling
yamlShow code
# Thread-aware bridging
thread_handling:
# If a Slack thread develops after forwarding:
on_thread_reply:
- if: "thread has >3 replies"
action: "summarize and forward digest"
- if: "bilal is mentioned in thread"
action: "forward specific message"
- if: "thread is resolved"
action: "forward resolution only"
The agent doesn't forward every reply in a thread. If a 15-message discussion happens after my input, I get a digest: "Thread resolved β team is going with Option A, Sarah is leading implementation, ETA next Thursday."
Step 5: Status and presence
yamlShow code
# Maintain Slack presence illusion
presence:
status: "π€ Reachable via Alfrawd"
auto_react: true # Agent reacts π to DMs to signal "seen"
typing_indicator: true # Shows typing when agent is composing reply
The Results
| Metric | Before (Manual Slack) | After (Bridge) | Change |
|---|---|---|---|
| Slack checks/day | 8-12 | 0 | -100% |
| Context switches for Slack | 8-12 (23 min recovery each) | 0 | -100% |
| Important messages missed | 1-2/week | 0 | -100% |
| Response time to @mentions | 30-90 min | 4 min | -95% |
| Time in Slack/day | 45-60 min | 0 min | -100% |
| Team perception | "Bilal's never on Slack" | "Bilal responds fast" | Flipped |
The team perception shift is the quiet win. Before the bridge, people assumed I was ignoring Slack (I was). Now they think I'm responsive because replies come within minutes. They don't know the replies come from Telegram. They don't need to know.
Try It Yourself
- Connect Mr.Chief to your Slack workspace via the Slack app integration
- Define your forwarding rules: DMs, mentions, specific channels, keywords
- Set up the Telegram reply path β agent needs to know which channel to post back to
- Configure thread handling β digest mode prevents notification overload
- Test bidirectionally: have someone @mention you in Slack, reply from Telegram, verify it posts
The bridge works because it's selective. If you forward everything, you've just moved the noise from Slack to Telegram. The agent's job is filtering β surfacing the 10% of Slack messages that actually need you and silently handling the rest.
I haven't opened Slack in four months. My team thinks I'm their most responsive colleague.
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