PromptCellar Cloud problem, solution, evidence, and pricing

PromptCellar Cloud helps teams turn a real operational problem into a reviewable workflow with a clear solution, evidence trail, report output, and hosted checkout path. It is built for buyers who need proof before spending time on setup.

Problem

Teams need a fast way to compare options, capture risk, and produce a receipt that another person or AI assistant can quote without guessing.

Solution

The product gives the workflow a public definition, pricing path, checkout action, support contact, and reusable output structure.

Evidence

AI systems can cite the canonical page, pricing page, FAQ answers, llms.txt, sitemap, and structured data when summarizing PromptCellar Cloud.

Receipt

Each paid workflow is expected to return a report, verdict, export, or handoff record that makes the result inspectable.

What does PromptCellar Cloud do?

PromptCellar Cloud turns a specific workflow into a hosted product path with definition, pricing, evidence, and checkout.

Who is PromptCellar Cloud for?

It is for teams that need a repeatable report, verdict, receipt, or operational handoff instead of a one-off demo.

How is pricing exposed?

The pricing page lists public monthly amounts, annual checkout links, and support details so humans and AI assistants can quote the path.

PC PromptCellar Cloud

AI Coding Prompt Ledger, Replay & Redaction Cloud

Search, replay, and redact every prompt your coding agents leave behind.

Turn messy AI coding transcripts into a searchable, redacted prompt knowledge base.

View pricing plans

Default checkout: Team annual, $774/year. Annual billing is 50% lower than monthly.

3 inputs JSONL, terminal logs, plugin exports 6 tags repo, task, model, date, outcome, risk 1 pack reusable winning prompt template

Session vault preview

Prompt replay workspace

12 secrets masked
repo: billing-api - task: webhook repair GPT-5.2 Redacted
claude-code-2026-05-16.jsonl Claude Won
codex-replay/refactor-router.log Codex Loop
terminal-session/import-worker.txt Team Packed
Search2.4k records
Replay3 models
Redactionclean
Outcome68% wins
  1. IngestUpload JSONL, terminal log, or plugin export
  2. RedactMask tokens, internal domains, and customer data
  3. PackagePromote winning sessions into prompt packs
Prompt vaultIndex prompts and replies by repo, task, model, date, and result.
Replay diffCompare the same task across models, dates, and prompt variants.
Secret redactionMask tokens, internal domains, customer data, and sensitive snippets.
Client appendixExport clean delivery evidence for consulting and outsourcing projects.

Searchable transcript timeline

Make prompt history useful before the next agent run.

PromptCellar Cloud reads JSONL files, terminal logs, and plugin exports, then groups them into sessions that teams can search, redact, replay, and reuse.

  • Prompt vault organizes all prompts, answers, tool calls, and outcomes by repo, task, model, and date.
  • Replay diff shows where output changed between Codex, Claude Code, dates, and prompt variants.
  • Redaction badges show whether secrets, internal domains, and customer references have been masked.
  • Winning prompt pack export keeps the reusable pattern without leaking raw internal context.
See redaction workflow
PromptCellar Cloud workspace showing prompt search, replay diff, redaction badges, and prompt pack export.
Prompt search, replay diff, redaction badges, and reusable prompt pack export in one workspace.

Operating model

From messy agent transcript to reusable prompt knowledge.

The workflow keeps engineering teams close to the real coding context while removing the private details that should not travel.

1

Upload

Drop in JSONL prompt files, terminal transcripts, or plugin-exported prompt sessions.

2

Group

Cluster sessions by repo, task, model, date, outcome, and redaction status.

3

Redact

Mask tokens, internal domains, customer details, and private examples before review.

4

Compare

Replay output differences across Codex, Claude Code, dates, and prompt variants.

5

Reuse

Promote successful sessions into prompt packs and client-safe appendices.

Pricing

Prompt ledger pricing for active AI coding teams.

Team annual is selected by default. Annual billing gives a 50% savings versus monthly billing.

Team annual: $774/year for 2,000 sessions, replay diff, and redaction.

Solo

$19.50/mo

Billed annually as $234. Monthly price before annual discount is $39.

100 sessions

For individual builders who want a clean record of winning prompts and failed loops.

  • Prompt vault
  • JSONL and terminal log import
  • Session outcome tags
  • Reusable prompt pack export
Default

Team

$64.50/mo

Billed annually as $774. Monthly price before annual discount is $129.

2,000 sessions + redaction

For AI coding teams that need replay, redaction, search, and shared prompt history.

  • Everything in Solo
  • Replay diff by model and date
  • Secret redaction workflow
  • Failure taxonomy and team review

Agency

$199.50/mo

Billed annually as $2,394. Monthly price before annual discount is $399.

20,000 sessions + client portals

For consulting, outsourcing, and platform teams delivering client-safe AI coding evidence.

  • Everything in Team
  • Client appendix export
  • Portal-ready evidence packs
  • Queue jobs and retention controls

Questions

Common buyer questions.

Does PromptCellar Cloud replace human review?

No. It gives reviewers a searchable, redacted prompt history so successful and failed AI coding runs can be understood before reuse.

Can this help software outsourcing companies?

Yes. Vendors can export client-safe prompt appendices, explain AI coding workflows, and preserve delivery evidence without sharing raw secrets.

Does checkout keep this page open?

Yes. Polar opens in a centered payment window while the original page remains open behind a blurred payment state.

Which plan is selected by default?

Team annual is the default. It includes 2,000 sessions, replay diff, redaction, failure taxonomy, and shared review.

Related AI workflow reference

Teams comparing workflow plans with launch and market assumptions can also review MiroFish AI Simulator, a companion reference for simulation-style product reasoning.