Beezi plugs into the AI coding tool your team already uses and breaks down every session: what it cost, which model ran, how the work was done, where it waited. Then it turns that into advice on what to change and what to scale.
Easy setup, nothing to change. From day one, see your real velocity in the age of AI.
Read data from the tools you already use
Claude Code
Codex
CursorComing soonWho it's for
Your team already codes with AI, and the bill grows every month. Finance, engineering, and the business all want to know what they get for it. Today, all three are guessing.
Business Team
AI is changing how much work engineering teams can do. What it means for business results is harder to say. Someone on your team is using AI much better than the rest — and it's unclear how. Without knowing what works, you can't scale it, so the gains stay with one person instead of driving revenue.
Finance Team
AI costs keep growing, but finance still sees them as fragmented vendor bills rather than a cost of delivery. It's difficult to allocate spend to teams and projects, reconcile it with plans and budgets, or forecast what comes next. So AI spend becomes overhead instead of a controllable cost of the work it enables.
Engineering Team
Everyone on the engineering team has access to the same AI tools, but everyone uses them differently. You've set up skills, rules, and MCP servers, and you want the practices that actually work to become the team standard. It's hard to see what works, what's actually in use, and where security gaps are.
The answers are already on your developers' machines.
No migration, no process change, no repository connection. Your board, your repos, your workflow stay exactly as they are. Works the same for one developer or a whole team.
Your machine
Coding agents
Claude CodeCodexCursor
Beezi plugin
Reads the session history your coding agent keeps
Summary only
Tokens, models, time, cost
Your Beezi workspace
412 sessions imported
01 / Under 2 min
Run one command inside a session on the machine you're measuring. Nothing to host, no repository access, no admin approval.
/plugin install beezi@beezi02 / One time
From then on, every session records automatically. No manual tracking, no scripts to maintain, nothing for anyone to remember.
/beezi:login03 / Quick win
Subscription plan and model fit, idle time. Each finding names the account, the number behind it, and the next step.
/beezi:analyticsTwo minutes per developer, and you know exactly what to improve.
Exact commands in the docs ↗Not a score and not a leaderboard. A record of how work gets done, per task, per model, per checkpoint.
Spend broken out by group, person, and model, and how it splits across skills and subagents. Enough to tell heavier work apart from more expensive habits.
Who hits rate limits and how often, and where a tier is underused. Sometimes the honest answer is spend more: an engineer waiting for a reset three times a day costs more than the upgrade.
Which skills exist, which get invoked, which get ignored. Where the same problem was solved five different ways across the team.
Time running versus waiting, retries, and model choice. When similar work takes very different amounts of time, you can tell whether it's the work or the setup.
Which AI tools, MCP servers, and integrations can access company data — including shadow AI. Know what AI can reach and where security gaps exist.
What a normal piece of work takes, built from weeks of your own sessions. The next estimate comes from your data, not from a guess.
Audit
Most AI analytics tools start empty and ask you to come back in a month. Beezi Analytics doesn't.
Each machine connects in about two minutes.
Brings up to 30 days of existing sessions.
Get immediate recommendations on:
You're not waiting for data to accumulate. You're looking at what already happened.
Billed to Acme
Seats × 40$8,000.00
Usage beyond seats$6,280.00
AI coding tools$14,280.00
which project was the $3k for?
9f2c1e7a-4b1d.jsonl
1{"type":"user","message":{"role":"user","content":"fix the webhook retry"},"cwd":"/Users/ak/acme/payments"}
2{"type":"assistant","message":{"model":"claude-opus-4-1","usage":{"input_tokens":18234,"cache_read_input_tokens":402113,"output_tokens":2210}}}
3{"type":"user","message":{"content":[{"type":"tool_result","content":"Tests: 2 failed, 41 passed"}]}}
ai-usage-FINAL-v3.xlsx
fx=SUM(D2:D5)
BeeziAnalytics
Key metrics
Sessions, spend, and activity at a glance
Sessions
412
~6/day avg (64 active days)
Total spend
$600 / $3,413
actual billing / API equivalent
Sessions
Every session from this machine, newest first
| Session | CostAPI equivalent cost | |
|---|---|---|
| ACME-482 | $9.41 | |
| Refactor auth middleware | $6.87 | |
| ACME-479 | $14.62 |
Two levels
AI Coach belongs to the developer. AI Consultant belongs to FinOps and the management team. Role-based access is what keeps them separate.
For the developer · AI Coach
AI Coach looks at your sessions and shows what's working, where you're wasting tokens, and what you could try differently. One plugin, free to install.
For the developer · Session receipts
Every session is itemised: model, tokens, cache and time, with the cost down to the cent. Each one shows the repository the work belongs to.
For the lead · Value
Actual billing for the whole organisation, next to its API-equivalent cost. Every billing plan and provider has its own line.
For the lead · Budgets
Spend against the monthly budget, and a forecast of the final figure. Overspend shows up while there is still time to act.
For the lead · AI Consultant
Spend, adoption and delivery, aggregated across teams and projects, with the analysis attached. It tells you whether this month's bill is more work or more expensive habits. Practice, not people.
For the lead · Dashboards
Set up a dashboard once and export it to PDF for every meeting. The budget review then starts from numbers, not impressions.
For the developer
For the lead
The plugin reads the session record your coding tool keeps on your machine and reports a summary. Nothing is inferred, and nothing extra is collected.
Your machine
~/.claude/projects/acme-payments/9f2c1e7a.jsonl
Your prompts and the model's answers
The contents of your files
Your file paths
Your authentication tokens
Beezi plugin
Summary only
What Beezi receivesSession summary
The honest edge
Four things the product will not do for you, and what it shows instead.
We show which way of working is already working, so you can make it the standard. Speed comes from that decision, not from the dashboard.
We show where it goes — which model, which type of task, how much of it was retries and context you paid for twice. The invoice arrives either way. The difference is knowing what's in it before you decide what to cut.
Somebody on your team already worked out the good way to do it and wrote it down; the rest of the company never found out. We show which practices exist, which ones get used, and which quietly died after the first week.
That call still comes. What changes is that you can see where the work waited — and it's usually not where anyone guessed.
From the first session to the whole picture of AI-assisted work.
Claude Code and Codex are supported today. Cursor is coming soon. If your team uses another tool, tell us which one.
It's data about practice, not about people. Prompts, model responses and file contents never leave the machine. Individuals see their own usage; supervisors see the group they are responsible for.
Two commands and a browser sign-in. Under two minutes, and nothing about your workflow changes.
No. Beezi reads what Coding Tool already records locally. There is no repository access, no board integration, and no communication tool to connect.
Whatever history exists on the machine comes across when you link it. If there is not any yet, your first sessions appear as you work.
Yes. The 14-day audit gives you the team view without a card. It is a snapshot of usage that already happened — live tracking starts when you add a payment method.
Your account and its data are yours. Sign out of a machine with one command and it stops reporting immediately.
Not yet. Our security posture, data handling, and subprocessors are documented and available on request — talk to us, and we will walk your team through it.
That is the normal case. Sessions from each tool land in the same record, so cost and practice read as one number for the team rather than one per vendor. Tell us which tools you run and we will confirm what is supported today.
After a few weeks a company has its own benchmark — the number nobody has today.
/beezi:login
Linked412 past sessions imported