Oversized tool output on every run
Your retrieval step returns 12k tokens. The next step reads about 800 of them.
Prompt · workflow · agent optimization
Supernova shows you exactly where your production AI workflows waste money, where they miss quality, and what to change — with evidence on every finding. One-line SDK wrap around your LLM or agent client. Nothing goes live without your review.
Your retrieval step returns 12k tokens. The next step reads about 800 of them.
The problem
Prompts repeat. Context bloats. Retries pile up. Tools return data nobody reads. Multiply that by millions of runs and you're burning real money on work your users never see — and you can't tell which workflow is doing it.
Cost and token usage broken down by workflow, prompt part, model, and tool output — in aggregate, not one prompt at a time.
Open any finding to see the exact run, prompt, and tool output behind it. No hand-waving, no guesswork.
Ranked recommendations with estimated savings, risk level, and the specific next step to take.
See it in one view
Spend, token mix, and the top ranked savings — all in one dashboard you can hand to an engineer or a finance partner.
Waste analysis
Supernova scans your imported runs for the patterns that quietly drive most AI spend — the kind no single-prompt review would catch.
Static instructions sent on every call that could be cached or templated.
Long history and retrieval dumps the next step never reads.
Tool responses bigger than the answers they produce.
Steps that retry over and over because of prompt or tool design.
Expensive models used for simple routing or extraction steps.
Workflows that finish without ever checking their own answers.
A/B testing
Try a change safely against real traffic, watch the numbers, then promote the winner to production when you're ready.
Pick a workflow, swap in a new prompt or model, and re-run it against your past traffic. Compare cost, latency, and output quality side-by-side — with zero production risk.
Route a slice of production through variant B. Watch real-time results — cost, success rate, user feedback — and promote the winner to 100% with one click.
Feedback analysis
Thumbs up, thumbs down, a Slack complaint, an angry email — Supernova collects the signal, links it to the run that caused it, and tells you what to fix.
Thumbs up and down on any agentic task. Slack reactions and replies. Customer emails. All tied back to the exact workflow that produced the result.
Each piece of feedback opens the full run that produced it: the prompt, the tools, the context, the model. See what good runs and bad runs actually differ on.
Supernova clusters negative feedback and suggests specific prompt, retrieval, or workflow changes — grounded in the runs that failed, not in generic advice.
Agentic workflows
Most tools look at one call. Supernova looks at the whole workflow — including clarifications, delegated subtasks, retries, and verification gates.
How a finding looks
Across 1,240 runs, 38% start with a clarification round before the agent can begin real work. Collecting the missing fields upfront would save about 19s per run and cut average input tokens by 11%.
Security · privacy · governance
Your prompts and your customers' data are the most sensitive things you own. Supernova treats them that way by default.
Strip personal data, secrets, and customer payloads before anything leaves your systems. Per-environment rules for enterprise workspaces.
Full payload, redacted, or metadata-only — set it per workspace and change it any time. No surprises.
Configurable retention, right-to-delete workflows, region pinning, and audit trails on every access to sensitive data.
Encryption in transit and at rest. Role-based access, single sign-on, and SCIM provisioning for every enterprise plan.
Supernova never mutates your prompts or configs without explicit opt-in. Every change is yours to approve.
Dedicated security contact, signed DPAs, and a shared incident channel for every enterprise account.
How it works
Ready to stop paying for noise?