Value Telemetry
Understand the value agentic development is delivering.
Link your AI spend to the work it actually delivered, issue by issue. Your bill shows what you spent. CodeLantern shows what it bought, so you can plan ahead or account for what's behind you.
The Challenge
Your AI bill tells you how much, but not the value delivered.
Usage-based pricing put a real number on agentic development, but the wrong one: a per-user monthly total that says how much, never what for. The call gets made on price and gut, and your CFO’s question goes unanswered.
Per-user totals, not per-feature
A monthly number per seat, never the cost of the work that shipped.
One console per vendor
Every provider reports its own spend, its own way. No common basis to compare.
No link to what shipped
Nothing ties the spend to the issues, features, or outcomes it produced.
That’s the gap Value Telemetry closes: every dollar of agentic spend, attributed to the feature it shipped.
See it in action ↓Value Telemetry
Every issue, and what it cost to ship.
Value Telemetry attributes the cost of agentic work to the issue it produced: the feature, the spend, and the size of the work delivered, so the outliers stand out.
| Issue | Cost |
|---|---|
| Add OAuth device-code flow | $41 |
| Fix pagination off-by-oneunusual | $192 |
| Refactor billing webhooks | $88 |
| Add CSV export to reports | $23 |
| Migrate to Postgres 16 | $67 |
| Total | $411 |
Spend, tied to what shipped
Cost attributed to the issue it produced: the feature, the spend, and the size of the work delivered.
Anomalies raise their own hand
Spend is measured against the size of the work. The $192 session on an XS issue flags itself.
Down to the session
Skills, tools, models, and token mix: the shape of how the spend happened, session by session.
One basis across every agent
Token usage at published API rates, applied identically to Claude Code, Copilot, and Codex.
What it unlocks
From what it cost to what it will cost.
A sprint or two of Value Telemetry gives you a baseline: what an XS issue actually costs on your codebase, and what an L one does. Size next quarter’s work the way you already do, and you get a cost range grounded in your own history instead of a number someone made up.
A defensible range from real data is what turns an AI budget into something you plan, rather than something you explain after the invoice lands.
The Method
Structure is what makes value measurable.
A billing console can’t tie spend to a feature: it sees tokens, not work. Our methodology organizes agentic work around the unit you already manage: the issue.
Small, shippable issues the way strong teams already work: agentic agile vs. spec-driven waterfall and software factories that fail. That’s exactly what makes cost and value legible, issue by issue.
Every issue runs the same lane, and each one enriches a perpetual knowledge base that travels with your project, so the next issue starts smarter, costs less, and breaks less.
Content-free by design
Telemetry, not surveillance.
Value Telemetry records the shape of a session, never its contents. It’s content-free by construction, so you can turn it on across every team without a privacy review becoming its own project.
Trusted partner of
Get started
See it in action.
The fastest way to see the value of your AI spend, not just its cost, is to work with CodeLantern on a real project. We’ll show you what it looks like for the work you’re already shipping.
- A short intro call to understand your team
- We show it on your real work, not a canned demo
- An honest go / no-go, no pressure
More solutions
More ways CodeLantern can help your team.
Ship Faster and Modernize Safely
Modernize ahead of your competitors, with your engineers still steering.
Learn moreAlign Your Agentic Team
Run agentic work on the board and metrics your team already trusts.
Learn moreMaintain Quality at Agentic Speed
Scale output while your team keeps one shared understanding of the system.
Learn moreManage Your Team's Delivery
See the decisions behind each issue, and coach where work gets stuck.
Learn more