Mini case study / AI Tools
Telegram Fact-Checking Bot
A careful AI-assisted workflow for evaluating shared claims and turning messy inputs into structured review steps.
Year
2026
Mode
Prototype
Key modules
4+
Problem
Forwarded claims, screenshots, and mixed-language posts are difficult to review responsibly inside fast chat environments.
Product / Solution
The bot structures claim extraction, OCR intake, source signals, confidence notes, and a careful review output.
Workflow or system map
Telegram Fact-Checking Bot
A bot for analyzing claims, OCR text, screenshots, and public information to help classify and fact-check content.
01
AI Tools
02
Claim extraction
03
OCR and screenshot intake
04
Structured review output
05
Handoff
Key modules
Key modules
Signal path: AI Tools
- 01Claim extraction
- 02OCR and screenshot intake
- 03Structured review output
Result / current state
The prototype is framed as a review assistant that supports media literacy, not an absolute truth machine.
Next Steps
Add source handling rules, confidence language, OCR accuracy checks, and safer response templates.
Future vision
A practical assistant for media literacy and responsible sharing.
Because this is still in development, the next step is to prove the workflow with realistic records, roles, and admin actions.
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Send the workflow, users, current tools, and the result you want. The next step is to turn that into a focused product scope.