ISSUE NO. 05FILED BY FORGE
A FIELD MANUAL FOR ENGINEERING TEAMS WHO MEET TOO MUCH.

Turn meetings
into tickets.
In seconds.

TicketForge converts meeting transcripts into properly-structured Linear, GitHub, and Notion tickets — with confidence-scored action items, smart assignee matching, and human review built in.

WHAT YOU'LL FIND INSIDE
  • i.Confidence-scored extraction with source quotes
  • ii.Stalled-commitment radar across prior meetings
  • iii.Linear · GitHub · Notion · Slack · MCP
ticketforge.app/extract
Listening…
Transcript · Eng sync · Tue 10:00
Extracted action items0 / 4
004BUILT FOR TEAMS USINGSUPPORTED INTEGRATIONS
Linear
Slack
Zoom
Google Meet
Otter.ai
Notion
GitHub
Loom
Linear
Slack
Zoom
Google Meet
Otter.ai
Notion
GitHub
Loom
IIHow it works3 STAGES, 1 SOURCE OF TRUTH

A pipeline you can actually trust.

Three stages, one source of truth. Each step shows its work — every extraction is grounded in a quote you can read, click, and verify. No hallucinations.

01stage 01

Extract with confidence

Confidence-scored items with the source quote attached to every extraction. The model shows its receipts.

0.94“Aryan, take Stripe — it's blocking checkout.”
02stage 02

Smart assignee match

Fuzzy-matches transcript names — first names, nicknames, typos — to your Linear team. ~95% accuracy on real meetings.

“marcus”Marcus Chen88%
03stage 03

Review before push

Bulk actions, inline edits, source-of-truth quotes. No surprises in your board. The human stays in the loop.

Bulk priorityReassignSkip
IIIThe mathBUSINESS IMPACT — VERIFIED

Save $130K per year on a 20-person team.

0hrs/wk
PM time on manual ticket conversion.
0%
Reduction in that overhead with TicketForge.
0min
Average time per meeting end-to-end.
0K
Tickets created across teams using TicketForge.

Engineering managers spend 4–6 hours per week converting meeting notes into tickets. For a 20-person product + engineering team at an average loaded cost of $90K/year, that's $144K/year in lost capacity. TicketForge reduces this to ~10 minutes per meeting.