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Turning LINE Conversations into AI-Powered Work...
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LINE Developers Thailand
October 17, 2026
Technology
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Turning LINE Conversations into AI-Powered Workflows
A session at LINE THAILAND DEVELOPER CONFERENCE 2026
LINE Developers Thailand
October 17, 2026
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Transcript
Turning LINE Conversations into AI-Powered Workflows Rachata Pratheep Na Thalang
& Sittipon Kumda LINE Dev Conference 2026
Our starting point: Findee First prize LINE Hackathon last year
LINE + MINI App AI reads and classifies files Save, find and share in LINE 2
From Findee to a Bigger Challenge We joined the pilot
project BumbleB to tackle the broader challenges of group conversations. The project is still experimental. 3
Information overload Which plan? Which file? Who owns the next
step? The answer is scattered across messages. 4
Ingest the information Files Messages URL AI Which information still
applies? 5
Catch up What you Miss Time-scoped summaries Key group updates
Summary to task draft 6
Never run out off ideas Ask for ideas Create &
assign tasks Confirm attachments 7
Always know what important My tasks at a glance Overdue
& upcoming Suggested priorities 8
Organized all the mess Task & file hub Related tasks
File version history 9
Working in the group chat • Ask in the group's
context • Reply to a starting message • View tasks by time period Product guide illustration 10
Private chat through the OA • Specify or select a
group • Choose the time period • Receive the summary privately Product guide illustration 11
A web UI inside LINE • Rich Menu opens the
web UI • LINE Login • No separate app installation Product guide illustration 12
Behind the Scenes How BumbleB turns conversations into actions 13
How BumbleB handles a request 14
Sender and time in context Sender USR_01 Time 14:20 Message
Sawadee Who said it, and when? 15
Flex and other types Sender USR_01 Time 14:20 Type flex
Content json of that flex 16
Stable reference IDs Illustrative example: the same data keeps the
same ID Sender name USR_01 URL URL_07 Masking organizes context. Other security controls are still needed. 17
Caching repeated context Repeated context and a changing request Stable
context Reused through cache New request Context for this task Separate what repeats from what changes. 18
Compaction and chat history Compaction and historical retrieval Long conversation
Compacted context Retrieve past details when needed Summaries can lose details. Retrieve history when the system can access it. 19
Plugins, Skills and Tools Skills Guidebooks Plugin Tools Actions 20
Skills as guidebooks Skill: task-edit Short description Which tool to
use How to 21
Tools as actions Illustrative action Reviewed input Tool Edit a
task Action result A tool acts on its input and returns the result. 22
A short skill catalog Chat summaries Summarize by topic and
time Task management Create and manage task lists 23
Reading skills on demand Read skill details for the selected
task Read the catalog Select the skill Read its guidebook Load the details when they are needed. 24
Tools for the selected skill Limit the exposed tools to
the selected skill Selected skill Backend Relevant tools The team experienced fewer wrong tool choices. Tool filtering still needs separate permission checks. 25
Never trust, always verify 26
Review before creating a task • Task name and details
• Assignees and due date • Confirm before creating Product guide illustration 27
Overwrite or a new version? Overwrite New version Change the
original file Keep a separate copy Review attachments and the choice before acting. 28
Quick Reply and Postback When the button uses a postback
action Quick Reply button Postback action Webhook postback event The button sends action data to the backend. 29
What we learned Context needs provenance and time. Skills define
the procedure. Users review important actions. 30
See you next week Follow LINE Thailand OA @linethailand 31