Oct 31, 2025 · Oct 31, 2025 · Oct 31, 2025 · Nov 3, 2025 · Nov 4, 2025 · Nov 4, 2025
diff --git a/README.md b/README.md
 Development of this repository is currently in a halt, due to lack of time. Updates are comming end of June.

 working again ; )
 I am very busy at the moment so I would be very thankful for contributions and PR's
 # Overlap
 - Overlap is a team-first chat assistant that nudges teammates toward each other.
 - When someone asks a question, the system checks a shared, opt‑in skills index and, if relevant, suggests which teammate(s) might help — replacing solitary AI answers with socially aware guidance.

 ## MVP (minimal viable product)
 - Simple web chat UI (single‑page) that sends {user_id, team_id, prompt} to the server.
 - Team and user records with a short skills survey (store in SQLite for MVP).
 - Backend augmentation: before calling the model, do a fast skill-match (keyword or simple normalization) and inject one short hint into the prompt if a teammate matches.
 - Stream model responses back to the client unchanged except for the injected hint.
 - Basic seed data, Docker support, and environment variable for the model API key.
 - No production auth in MVP (trusted user_id); plan to add auth before public use.

 ## User journey (MVP)
 1. Join or create a team and complete a quick skills survey.
 2. Open chat and ask a question.
 3. Server checks team skills and finds possible matches.
 4. If a match exists, the reply includes a short suggestion like “Alice knows React — want to connect?”
 5. Conversation is logged; skill usage counters may be updated for future recommendations.

 ## User personas

 ## To do
 - [x] Double confirm when deleting conversation
Original file line number	Diff line number	Diff line change
		@@ -1,7 +1,23 @@
		Development of this repository is currently in a halt, due to lack of time. Updates are comming end of June.

		working again ; )
		I am very busy at the moment so I would be very thankful for contributions and PR's
		# Overlap
		- Overlap is a team-first chat assistant that nudges teammates toward each other.
		- When someone asks a question, the system checks a shared, opt‑in skills index and, if relevant, suggests which teammate(s) might help — replacing solitary AI answers with socially aware guidance.

		## MVP (minimal viable product)
		- Simple web chat UI (single‑page) that sends {user_id, team_id, prompt} to the server.
		- Team and user records with a short skills survey (store in SQLite for MVP).
		- Backend augmentation: before calling the model, do a fast skill-match (keyword or simple normalization) and inject one short hint into the prompt if a teammate matches.
		- Stream model responses back to the client unchanged except for the injected hint.
		- Basic seed data, Docker support, and environment variable for the model API key.
		- No production auth in MVP (trusted user_id); plan to add auth before public use.

		## User journey (MVP)
		1. Join or create a team and complete a quick skills survey.
		2. Open chat and ask a question.
		3. Server checks team skills and finds possible matches.
		4. If a match exists, the reply includes a short suggestion like “Alice knows React — want to connect?”
		5. Conversation is logged; skill usage counters may be updated for future recommendations.

		## User personas

		## To do
		- [x] Double confirm when deleting conversation
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