Neotask controls feature flags, queries observability data, and manages rollouts - ship features safely without the LaunchDarkly dashboard.
Create and update feature flags with targeting rules, percentages, and kill switches
Query logs, traces, sessions, and metrics to validate the impact of every flag change
Manage rollouts incrementally - start small, verify with data, then increase confidence
What You Can Do
Neotask gives your engineering team conversational control over LaunchDarkly. Manage feature flags, query observability data, and orchestrate safe rollouts - all through conversation.
Feature Flag Management
Create new flags, update targeting rules, and toggle features on or off. Set percentage rollouts, user targeting, and kill switches through natural language instead of navigating the dashboard.
Observability Queries
Query logs, traces, sessions, error groups, and metrics tied to flag evaluations. Understand how a flag change affects real user behavior before expanding the rollout.
Timeline Auditing
Query timeline events to audit who changed what and when. Essential for incident reviews and compliance documentation.
Data-Driven Rollouts
Combine flag management with metrics queries to build a feedback loop: enable a flag for 5% of users, check error rates, then increase to 25% if everything looks clean.
Every action runs autonomously or requires your approval - you decide.
Try Asking
"Create a feature flag called 'new-checkout-flow' with a 10% rollout"
"Query the error rate for sessions that evaluated the new-checkout-flow flag"
"Increase the rollout to 50% for the premium-dashboard flag"
"Show me the timeline events for all flag changes in the last 24 hours"
"What error groups appeared after we enabled the new-pricing flag?"
"Query traces for requests that hit the new API endpoint behind the feature flag"
"Kill the experimental-search flag immediately"
Pro Tips
Start rollouts small and use metrics queries to validate before increasing percentage.
Use timeline events to audit who changed what and when - essential for incident reviews.
Session queries help you understand the full user journey when debugging flag-related issues.
Combine flag evaluation queries with error group analysis to catch regressions before they affect most users.
Create flags with descriptive names and tags so future queries and audits are straightforward.
Always have a kill switch plan - know which flag to disable if metrics degrade.
Multiple workspaces and capacity for larger teams.
Works Well With
GitHub - Automate GitHub feature flag deployments with LaunchDarkly via Neotask. Manage rollouts, review PRs, and control release...
Google Ads - Connect Google Ads and LaunchDarkly with Neotask to sync feature flag rollouts with ad campaigns, optimize spend, and au...
Google Calendar - Connect Google Calendar with LaunchDarkly to automate scheduled feature flag rollouts, timed releases, and deployment wi...
Google Sheets - Connect Google Sheets and LaunchDarkly with Neotask to automate feature flag reporting, rollout tracking, and spreadshee...
Intercom - Connect Intercom and LaunchDarkly with Neotask to sync feature flag rollouts with customer support workflows, conversati...
PagerDuty - Connect LaunchDarkly and PagerDuty with Neotask to automate incident response, flag rollbacks, and on-call escalations t...
Salesforce - Connect LaunchDarkly and Salesforce with Neotask to align feature rollouts with your sales pipeline, sync flag targeting...
Zoho CRM - Connect LaunchDarkly and Zoho CRM with Neotask to align feature rollouts with your sales pipeline. Sync feature flag sta...
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