SupernovaAgentic Workflow Analysis and Optimization
Last import · completed

Prompt · workflow · agent optimization

Stop paying for AI workflows that don't pay you back.

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.

Example finding

Oversized tool output on every run

Your retrieval step returns 12k tokens. The next step reads about 800 of them.

$2,140/moEstimated savings · medium risk · high confidence
What you get
  • Ranked opportunities with dollar impact per workflow.
  • Evidence on every finding — the run, prompt, and tool output that caused it.
  • Recommendations you approve. Never auto-applied.
One-line SDKWraps every LLM and agent call
Evidence-backedEvery finding traces to a real run
Read-onlyYou approve every change before it ships
Production-scaleBuilt for millions of repeated runs

The problem

You know your AI bill. You don't know where it's going.

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.

See the waste

Cost and token usage broken down by workflow, prompt part, model, and tool output — in aggregate, not one prompt at a time.

Understand the cause

Open any finding to see the exact run, prompt, and tool output behind it. No hand-waving, no guesswork.

Know what to change

Ranked recommendations with estimated savings, risk level, and the specific next step to take.

See it in one view

Every workflow, ranked by what it costs you.

Spend, token mix, and the top ranked savings — all in one dashboard you can hand to an engineer or a finance partner.

Waste analysis

Find the noise in every workflow.

Supernova scans your imported runs for the patterns that quietly drive most AI spend — the kind no single-prompt review would catch.

Repeated prompt text

Static instructions sent on every call that could be cached or templated.

Oversized context

Long history and retrieval dumps the next step never reads.

Bloated tool output

Tool responses bigger than the answers they produce.

Retry loops

Steps that retry over and over because of prompt or tool design.

Wrong-size models

Expensive models used for simple routing or extraction steps.

Missing verification

Workflows that finish without ever checking their own answers.

A/B testing

Test prompts before — and after — they ship.

Try a change safely against real traffic, watch the numbers, then promote the winner to production when you're ready.

Offline

Replay new prompts on real runs

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.

  • Diff outputs run-by-run against the current prompt.
  • See token, cost, and failure-rate impact before you ship.
Live

Split live traffic across variants

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.

  • Gradual rollout by percentage, workflow, or segment.
  • One-click promote or instant rollback if metrics drift.

Feedback analysis

Close the loop between your users and your prompts.

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.

Capture signal everywhere

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.

Trace it to the run

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.

Get improvement proposals

Supernova clusters negative feedback and suggests specific prompt, retrieval, or workflow changes — grounded in the runs that failed, not in generic advice.

Agentic workflows

Built for agents, not just single prompts.

Most tools look at one call. Supernova looks at the whole workflow — including clarifications, delegated subtasks, retries, and verification gates.

  • See where clarifications stall the real work.
  • Find delegated subtasks that repeat work the parent already did.
  • Spot phases that quietly fail verification or retry without changing anything.
  • Promote recurring successful workflows into reusable templates.

How a finding looks

Clarification-heavy workflow

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%.

Workflow
invoice-triage
Runs analyzed
1,240
Estimated savings
$3,820/mo
Risk
Low
Confidence
High

Security · privacy · governance

World-class security, built in — not bolted on.

Your prompts and your customers' data are the most sensitive things you own. Supernova treats them that way by default.

SOC 2 Type IIGDPRHIPAA-readyISO 27001CCPAAES-256

PII redaction before egress

Strip personal data, secrets, and customer payloads before anything leaves your systems. Per-environment rules for enterprise workspaces.

You choose what's captured

Full payload, redacted, or metadata-only — set it per workspace and change it any time. No surprises.

GDPR-compliant by design

Configurable retention, right-to-delete workflows, region pinning, and audit trails on every access to sensitive data.

SOC 2 Type II · HIPAA-ready

Encryption in transit and at rest. Role-based access, single sign-on, and SCIM provisioning for every enterprise plan.

Never auto-applied

Supernova never mutates your prompts or configs without explicit opt-in. Every change is yours to approve.

24/7 enterprise support

Dedicated security contact, signed DPAs, and a shared incident channel for every enterprise account.

How it works

Four steps. No code rewrites.

  1. Wrap your client.One line around your OpenAI, Anthropic, LangChain, or custom LLM client captures every call. Python, TypeScript, and Go SDKs supported.
  2. We analyze — asynchronously.Workflows are grouped, costs measured, and waste flagged off the request path. Your users see no added latency.
  3. Review ranked findings.Open any recommendation to see the evidence: the run, prompt, and tool output that caused it.
  4. Test, ship, measure.A/B test the fix offline or live, watch results, promote the winner — all from the same place.

Ready to stop paying for noise?

Wrap one agent. Find the first $1,000/month in fifteen minutes.