BYOBot

Automate Amplitude Without Code

Funnel analysis, retention digests, anomaly alerts, cohort reports, plain-English summaries: describe what you track and get a portable agent spec. First build free.

Analyze a funnel Weekly retention digest Alert on anomalies Compare cohorts Audit event taxonomy Summarize the numbers
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Funnel Analysis
Trace where users drop between steps and name the leak, so the next experiment targets the real problem instead of a guess.
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Retention Digests
Turn retention curves into a readable digest of who is coming back, who is not, and what changed, on a cadence.
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Anomaly Alerts
Watch key product metrics against their normal range and flag a real move the moment it happens, not at the next review.
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Cohort Reports
Compare how cohorts behave across releases or segments, so you see the effect of a change instead of guessing at it.
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Event Taxonomy Hygiene
Audit your event names and properties for gaps, duplicates, and drift, so the data you analyze is trustworthy.
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Plain-English Summaries
Turn a reporting period into a short narrative of what moved and why, for the people who will not open Amplitude.
Amplitude Mixpanel Google Analytics (GA4) BigQuery Segment Slack Google Sheets
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AI Chat Tool
Run it in any chat AI
Export an Amplitude chart and paste it into Claude, ChatGPT, or Gemini with a BYOBot spec to get the analysis, the digest, or the summary back. No OAuth required.
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Browser Agent
Agent reads your charts
A browser agent opens Amplitude, pulls the views you need, and assembles the report, without a data engineer wiring the API first.
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Automation Stack
Fully automated reporting
Connect the spec to the Amplitude API through your stack so digests and alerts fire on schedule and land in Slack, untouched.

Build Your First Product Analytics Agent

Describe the analysis or alert. Get a portable spec. Run it wherever your product data lives.

$25 USD
S$34 SGD · 5 builds per pack · first build free
Build your analytics agent →
No account. No code. Works with Amplitude and beyond.

Amplitude answers almost any product question you can phrase, which is the catch: you have to phrase it, build the chart, and read it right, every time. So the weekly product review becomes a scramble of rebuilding funnels and retention curves, and the recurring question, is this number good and what do we do about it, gets a shrug because nobody had time to dig. The chart-building is mechanical. The read is a pattern. Both come off your plate.

BYOBot writes a portable spec for each analytics workflow: a structured file defining the metric, the segment, the comparison window, and the output. Build the retention-digest spec once and run it by pasting an export into a chat AI, pointing a browser agent at Amplitude, or connecting the API through your stack. It shares its shape with your Google Analytics automation and rolls into the product manager workflows, so acquisition and product analytics tell one story.

The best first build is the recurring digest you dread, because it runs on a fixed cadence and needs little judgment once the definition is set. From there, anomaly alerts and cohort comparisons follow the same pattern. If the data itself is shaky, start with an event taxonomy audit, since clean events are what make every downstream analysis trustworthy, and hand the reporting to the data analyst workflows once it is solid.

BYOBot automates the recurring parts of product analytics: funnel drop-off analysis, retention digests, anomaly alerts against a metric's normal range, cohort comparisons across releases, event taxonomy audits, and plain-English summaries of a reporting period. If the task reads product data and produces an analysis, an alert, or a summary, it can become an agent.
Yes. Beyond pulling the number, a BYOBot spec compares against the baseline, segments to isolate the driver, and writes a short narrative of what changed and the likely cause. You get the interpretation your team asks for, not just a chart they still have to read.
Taxonomy automation scans your event names and properties for gaps, duplicates, and naming drift, then reports what to fix. Clean, consistent events are what make funnels and cohorts trustworthy, so this is usually the first thing to run if your analysis has felt unreliable.
Yes. The portable spec maps the analysis rather than one product's API, so the same funnel, retention, and digest workflows run against Mixpanel or GA4. Your analytics tool is a source, not a constraint.
Yes. Once the spec is wired into your stack, retention digests and anomaly alerts render on a schedule and post to Slack or email with no one opening Amplitude. The team reads the story instead of rebuilding the view.
No. Paste an Amplitude export into an AI chat tool for an instant read, run a browser agent that pulls the charts, or connect the API through your automation stack for scheduled delivery. You can start with zero setup and automate as you go.