Optimize Fireflies.ai costs through tier selection, sampling, and usage monitoring. Use when analyzing Fireflies.ai billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "fireflies cost", "fireflies billing", "reduce fireflies costs", "fireflies pricing", "fireflies expensive", "fireflies budget".
From fireflies-packnpx claudepluginhub nickloveinvesting/nick-love-plugins --plugin fireflies-packThis skill is limited to using the following tools:
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.
Details PluginEval's skill quality evaluation: 3 layers (static, LLM judge), 10 dimensions, rubrics, formulas, anti-patterns, badges. Use to interpret scores, improve triggering, calibrate thresholds.
Optimize Fireflies.ai per-seat subscription costs by right-sizing seat count, configuring selective recording, and managing transcript storage. Fireflies charges per seat per month (Pro: ~$18/seat/month, Business: ~$29/seat/month, Enterprise: custom).
set -euo pipefail
# Identify members who aren't using their seats
curl -X POST https://api.fireflies.ai/graphql \
-H "Authorization: Bearer $FIREFLIES_API_KEY" \
-d '{"query": "{ teamMembers { email role transcripts_count last_active } }"}' | \
jq '.data.teamMembers | sort_by(.transcripts_count) | .[] | {email, transcripts: .transcripts_count, last_active}'
# Members with 0-1 transcripts per month are wasting seats
# Seat optimization strategy
current_state:
total_seats: 20
active_users: 12 # >2 recordings/month
low_usage: 5 # 1-2 recordings/month
inactive: 3 # 0 recordings/month
optimized_state:
total_seats: 14 # Keep active + low_usage, remove inactive
savings: 6 seats * $29/month = $174/month
Remove inactive members or downgrade them to Viewer roles (which don't consume seats on most plans).
# Instead of recording every meeting (wastes transcription credits):
auto_record_policy:
record:
- internal meetings with 3+ participants
- external meetings (client/prospect calls)
- meetings with "standup" or "review" in title
skip:
- 1-on-1 informal chats
- social/team-building events
- meetings shorter than 5 minutes
Configure in Fireflies Settings > Auto-Join > Selective Recording.
set -euo pipefail
# Check storage usage
curl -X POST https://api.fireflies.ai/graphql \
-H "Authorization: Bearer $FIREFLIES_API_KEY" \
-d '{"query": "{ workspace { storage_used_gb storage_limit_gb } }"}' | \
jq '.data.workspace | {used_gb, limit_gb, usage_pct: (.storage_used_gb / .storage_limit_gb * 100)}'
# Delete old transcripts that are no longer needed
# Set auto-deletion policy: delete transcripts older than 365 days
# Decision matrix for plan selection
pro_18_per_seat:
storage: 8000 min transcription/seat # 8000: API server port
best_for: Teams that record <15 meetings/week per person
features: [transcription, search, basic AI summaries]
business_29_per_seat:
storage: Unlimited transcription
best_for: Sales teams recording every call
features: [transcription, search, AI summaries, CRM integration, analytics]
tip: Only worth it if team averages 20+ meetings/week per person
# If your team averages <10 meetings/week per person, Pro tier saves $11/seat/month
| Issue | Cause | Solution |
|---|---|---|
| Seat cost growing | Auto-provisioning new members | Disable auto-provisioning, manually add seats |
| Storage limit approaching | Recording every meeting | Enable selective recording, delete old transcripts |
| Paying for unused features | On Business tier but only using transcription | Downgrade to Pro tier |
| Invoice higher than expected | New members auto-added | Set member invitation to admin-only |
Basic usage: Apply fireflies cost tuning to a standard project setup with default configuration options.
Advanced scenario: Customize fireflies cost tuning for production environments with multiple constraints and team-specific requirements.