Pricing

Monitor and boost web performance with Lightpanda and AI

Swiftask integrates with Lightpanda to analyze your pages in real time. Identify bottlenecks and receive AI-driven recommendations to optimize speed.

Result:

Improve your Core Web Vitals and deliver a smooth user experience without complex manual technical analysis.

Manual web performance diagnostics are too complex

Monitoring modern site speed is a constant challenge. Traditional tools generate thousands of log lines that your teams struggle to interpret. As a result, performance issues persist, directly impacting your conversion rate and search engine rankings.

Main negative impacts:

Saturated data analysis: Traditional tools provide raw data without prioritization, making root cause identification slow and tedious.
Gap between detection and fix: It often takes hours to analyze a performance report before you can start fixing code or assets.
Degraded user experience: Every millisecond of extra latency increases bounce rates and decreases customer satisfaction on mobile and desktop.

Swiftask turns Lightpanda data into actionable insights. Our AI agent continuously analyzes your performance, identifies anomalies, and proposes concrete solutions to speed up your page rendering.

BEFORE / AFTER

What changes with Swiftask

Classic monitoring

You check fragmented dashboards, trying to manually correlate performance logs with recent code changes. You spend more time searching for the source of the problem than fixing it.

Intelligent Lightpanda + Swiftask monitoring

Swiftask receives data from Lightpanda, analyzes it instantly, and alerts you only on critical regressions with a clear explanation and an AI-suggested action plan.

Deploy your AI monitoring in 4 key steps

STEP 1 : Connect Lightpanda to Swiftask

Configure the Lightpanda API in Swiftask. In a few clicks, your agent starts receiving performance metrics from your target pages.

STEP 2 : Define your performance thresholds

Set critical indicators (LCP, FID, CLS). The AI learns your standards and ignores noise to focus on what matters.

STEP 3 : Activate automatic analysis

The Swiftask agent correlates Lightpanda data with your deployments. It detects if an update has impacted your speed automatically.

STEP 4 : Apply recommendations

Receive optimization suggestions (compression, lazy loading, caching) directly in your project management tool or via Teams/Slack.

What your AI agent can do

The agent examines server response times, blocking resources, asset weight, and JavaScript execution via Lightpanda data.

Target connector: The agent performs the right actions in lightpanda based on event context.
Automated actions: Automatic alerts on score drops. Weekly trend reports. Refactoring suggestions for heavy assets. Before/after deployment performance comparison.
Native governance: All recommendations are stored in Swiftask to track your optimization efforts over time.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-lightpanda@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Benefits of AI-driven automation

1. Technical productivity gains

Free your developers from repetitive monitoring tasks to focus on building new features.

2. Continuous optimization

Never let a performance drop go unnoticed: be alerted before your users complain.

3. Data-driven decisions

Every recommendation is backed by real metrics extracted by Lightpanda.

4. SEO improvement

A fast site ranks better on Google. Keep your Core Web Vitals in the green permanently.

5. Server cost reduction

Identify inefficient scripts that consume unnecessary resources and optimize your infrastructure.

Enterprise security and data privacy

Swiftask applies enterprise-grade security standards for your lightpanda automations.

Encrypted data transmission: Performance metrics flow through secure channels between Lightpanda and Swiftask.
Local analysis: Swiftask processes your data without ever accessing your application's confidential source code.
GDPR compliance: No sensitive user data is stored by the performance analysis agent.
Full control: You choose which pages are monitored and what access is granted to the AI agent.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your performance metrics

Metric	Before	After
Regression detection time	Several days	Real time
Core Web Vitals score	Variable / Unstable	Stable and optimized
Analysis workload	80% of dev time	10% (validation only)
Conversion rate	Impacted by slowness	Steady growth

Take action with lightpanda

Improve your Core Web Vitals and deliver a smooth user experience without complex manual technical analysis.