Feature flags

Choose who sees it.Follow what happens.

Your agent controls feature delivery by percentage, property or cohort. Exposure is recorded on the person, so the behavior and failures around your rollout are one question away.

Example: an agent session and its proofAudience targeting / Rollout health / Exposure context
  • Control delivery

    Choose boolean or multivariate decisions and targeted rollout rules.

  • Keep exposure context

    Record which decision a customer received.

  • Investigate the rollout

    Follow captured behavior, errors and release context around exposure.

01Targeted delivery

Start with the audience you intend to reach.

Ask your agent to define a flag with percentage, property or cohort rules. Check matching and non-matching customers, and give clients a safe default before you widen the rollout.

  • Use boolean decisions or multiple feature variants.
  • Target by customer properties, percentage or cohort.
  • Review the configured audience before widening delivery.
Explore flag targeting

02Exposure and experience

The decision is part of the customer story.

A recorded exposure shows which result a customer received. Your agent follows the events, replay and technical evidence around it and reads rollout health, without treating a correlation as a proven cause.

  • Keep flag decisions attached to recorded customer activity.
  • Compare exposure counts and the observed response distribution.
  • Follow release comparisons and the Issues around a rollout.
Explore exposure and rollout health

The workflow, connected

Control the release. Keep the experience in view.

Connect the delivery rule, the recorded decision and the customer evidence around your change.

  1. Define the decision

    Ask your agent for the flag, its variants, its audience rules and an application default.

  2. Verify delivery

    Test intended matches and record exposure with the same customer identity.

  3. Inspect the rollout

    Your agent reads exposure health and compares the behavior and failures around the change.

The capabilities behind it

Delivery controls with investigation context.

Choose who receives a feature and keep the evidence that helps your team understand the rollout.

Put it to work

For a rollout you can reason about.

Release to a small audience first

Use percentage or property targeting and test the expected decisions before widening the rollout.

Explore this workflow

Target a known customer population

Use cohorts or a supported saved audience generation for a deliberately selected group.

Explore this workflow

Investigate a problem after exposure

Follow the flag decision into the customer journey and compare the surrounding technical evidence.

Explore this workflow

Your first useful workflow

Make the first decision easy to verify.

Keep client-visible flag configuration free of secrets, and record exposure using the intended customer identity.

  1. Define a stable flag

    Choose its key, variants and intended targeting rules.

    Read the guide
  2. Connect your client

    Configure evaluation and exposure capture for the same project.

    Read the guide
  3. Check rollout health

    Compare observed exposure with your configured decision.

    Read the guide

A few useful answers

A few useful details.

How can I target a feature?

Flags support percentage, property and cohort targeting, with boolean or multivariate decisions.

Is an exposure proof that a flag caused an error?

An exposure records which decision a customer received. Compare the surrounding evidence before concluding that a change caused the problem.

Where do product experiments belong?

Product analytics contains the separate product-experiment workflow. Flag evaluation does not assign experiment treatments.

Can I use flags for an A/B experiment?

Feature flags control delivery. Product experiments use a separate two-arm, fixed-horizon measurement workflow; evaluating a flag does not assign experiment treatments.

What if a client cannot fetch a decision?

Keep a safe application default and surface the evaluation failure in diagnostics. Review the SDK guide for evaluation, caching and exposure capture.

Anectico / Private preview

Bring your next rollout.Keep the customer context.

Explore targeted delivery and exposure-linked investigation with your agent in private preview.