Is TryPromptFlow just a prompt generator?

No. Prompt Creator helps you build prompts, but Workflow Doctor and Agentic Workflow Doctor diagnose why prompts or workflows are failing and show how to improve them.

What should I use first — Workflow Doctor or Agentic Workflow Doctor?

Use Workflow Doctor when you have a weak prompt or poor AI output. Use Agentic Workflow Doctor when you are dealing with a multi-step workflow, agent process, or repeated execution failure.

Do I need to be technical to use TryPromptFlow?

No. TryPromptFlow is designed to explain what is wrong in plain language and give you a stronger structure to use.

How many free runs do I get?

You start with 10 free runs so you can test the product before choosing a paid plan. No credit card required.

Does TryPromptFlow guarantee better AI output?

No. It helps diagnose what is missing, flags possible risks, and gives you a stronger starting point. It does not promise that AI output will be correct, safe, or complete. Human review is still recommended before relying on the result.

Who is TryPromptFlow for?

Creators, operators, teams, and agencies using AI in real work — including anyone building with ChatGPT, Claude, Perplexity, Replit, Zapier, Make, n8n, or other agentic workflow tools who want clearer prompts and workflows before relying on them.

What is the difference between Workflow Doctor and Agentic Workflow Doctor?

Workflow Doctor diagnoses a single prompt, SOP, checklist, or workflow step — returning a corrected artifact with before/after quality comparison. Agentic Workflow Doctor handles the bigger scope: multi-step AI workflows, agent instructions, handoffs, edge cases, fail-closed behavior, validation steps, and execution drift.

What is a standard run in TryPromptFlow?

A standard run is one use of TryPromptFlow to diagnose, repair, or evaluate a prompt or workflow instruction. Each diagnosis, repair, or evaluation suite run counts as one standard run.

DIAGNÓSTICO DE FLUXOS DE TRABALHO DE IA · MAIS CLARO · MAIS SEGURO · MAIS ÚTIL

Diagnostique prompts de IA fracos antes que façam você perder tempo.

O TryPromptFlow revisa seu prompt ou solicitação de fluxo de trabalho, mostra o que está faltando, sinaliza possíveis riscos de confiança e entrega um Repair Pack mais limpo que você pode copiar e usar. A revisão humana ainda é recomendada.

Ajuda a diagnosticar, sinaliza possíveis riscos e melhora a clareza para que você comece com uma versão mais sólida do trabalho.

Experimentar um exemplo:

10 execuções grátis ou 7 dias — o que ocorrer primeiro. Sem cartão de crédito.

Demo grátis. Sem cadastro. Cole um prompt abaixo e veja a melhoria.

★★★★★“Saved my butt twice in two weeks.” — Mary, TryPromptFlow user

Multi-model by design

One model has blind spots. We don't rely on one.

Most AI tools run a single model and inherit all of its weak spots. TryPromptFlow runs multiple frontier models in conjunction — so a weakness one model misses, another catches. That's a result no single model can match.

No single point of failure

Every model has gaps. By combining multiple frontier models, no one model's blind spot quietly becomes your blind spot.

Cross-checked, not single-sourced

Findings are pressure-tested across models instead of trusted from one — so what you get back is harder to argue with.

“My agent already does this”

If your agent can reliably diagnose itself, prove it. Otherwise, let TryPromptFlow stress-test it across multiple models and show you exactly where it breaks.

Built for the frontier

As stronger models ship, they join the lineup — your results keep improving without you changing anything.

Escolha seu ponto de partida

Corrija um fluxo de trabalho quebrado

Suas saídas de IA são inconsistentes e você não sabe qual etapa está falhando.

Obtenha um ponto de falha diagnosticado e um prompt reparado que você pode testar imediatamente.

Valide um prompt antes do lançamento

Você fez mudanças mas não consegue saber se a nova versão é realmente melhor.

Execute avaliações pontuadas contra casos de teste e promova apenas o que passar.

Compare versões que funcionam

Você tem múltiplos candidatos de prompt e nenhuma forma estruturada de escolher o certo.

Comparação de versões lado a lado com pontuações de conjuntos de teste compartilhados.

Agentic Workflow Doctor — flagship tool

Review the full agentic workflow before you trust it to run

Agentic Workflow Doctor checks the complete workflow — what triggers it, what each AI agent or automation does, where humans need to approve, what can fail, and what should be repaired before launch. It is designed for teams shipping AI-assisted workflows where a silent failure in production is not acceptable.

Map workflow steps

Trace each step of your workflow — triggers, AI actions, automations, and handoffs — so nothing is missing before launch.

Find approval gaps

Identify where human sign-off is missing or where an automated step is making a decision that should require a person to review.

Flag automation risks

Spot over-automation, unchecked AI decisions, and workflow designs that remove human review from steps where it matters most.

Identify failure points

Surface the steps most likely to break, time out, or produce unreliable output under real operating conditions.

Produce a repair plan

Return a prioritized list of fixes — what to address first, what to monitor, and what to redesign before rollout.

Check launch readiness

Score the workflow's overall readiness and risk level so you know whether it is ready to ship, needs work, or is not ready.

WorkflowOS Doctor is a premium diagnostic add-on available on Business, Enterprise, and WorkflowOS Doctor plans. Contact us to get access.

PromptOps workflow

Most AI failures are not a model problem. They are a workflow problem.

Unclear objectives, missing context, weak constraints, unstable steps, and no release standard. TryPromptFlow diagnoses the breakpoints, repairs the structure, and shows whether the result is ready to use.

→

Step 1

Diagnose

Find missing context, weak constraints, unclear outputs, and workflow failure points.

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Step 2

Repair

Generate a corrected prompt, SOP, checklist, or workflow instruction set.

→

Step 3

Version

Save every improvement with version history, diff comparison, and rollback.

→

Step 4

Prove

Use repair ledgers, evaluation runs, and promotion readiness to see what actually improved.

Step 5

Promote

Pin an approved baseline and use release confidence before putting work into production.

Trust

Catch risks before they ship, not after.

TryPromptFlow scans every prompt for four categories of common issues and shows you exactly what it found — before you rely on the output. You stay in control of what to fix and when.

Sensitive-data patterns

Spots key-shaped tokens, email addresses, phone-shaped values, AWS-style keys, and private key blocks in your prompt before you share it.

Unsupported claims

Calls out absolute or guarantee-style wording — 'best,' 'always,' '#1,' 'guaranteed' — so the prompt does not push the model toward overclaiming.

Over-automation risk

Flags asks that remove human review entirely from steps where a person should still approve, sign off, or sanity-check the output.

Regulated-advice topics

Notices when the request touches legal, medical, financial, or tax advice so you can add the right disclaimers or route it to a qualified person.

Catches the most common issues in seconds. For compliance, legal, or domain-specific questions, a qualified expert review is still the right call — TryPromptFlow gives you a faster, cleaner starting point before you get there.

Who this is for

Built for people doing real work with AI

If you rely on AI output that other people will read, use, or act on, a quick diagnosis catches the things that quietly break the result.

Creators

Improve prompts for content, ads, emails, offers, and everyday AI output. Get a clearer version you can actually use.

Operators

Turn messy tasks and unclear workflow steps into repeatable AI-assisted procedures. Diagnose what is breaking before it becomes a rework problem.

Teams

Create clearer instructions, stronger handoffs, and more consistent AI results across everyone doing the work.

Agencies

Diagnose client prompts, workflows, and AI deliverables faster. Return a corrected artifact with an explanation of what changed and why.

Mobile companion

Use TryPromptFlow on desktop and mobile

TryPromptFlow is built for serious AI workflow work on desktop, with a mobile companion app for reviewing and accessing your prompt operations on the go.

Mobile companion app available on Android.

Why AI output goes sideways — and what a diagnosis catches

Prompt engineering alone is not enough

Better wording helps, but most weak AI output traces back to a request that was missing context, audience, constraints, an output format, or review criteria — not just bad phrasing.

AI output fails when the request is incomplete

If the prompt does not say who the answer is for, what to include, what to avoid, or what 'good' looks like, the model fills in the gaps. The gaps are usually where things go wrong.

You need to see what changed and why

Adopting an improved prompt without understanding the edits is just a different kind of guesswork. A diagnosis shows the reasoning so you can decide whether to trust it.

See what changed, why it changed, and how to reuse the result

Before

Vague — missing audience, offer, goal, and structure

Write me a Facebook ad for my business.

After

Diagnosis applied — specific, structured, usable

Write three Facebook ad variations for a local plumbing business in [City], targeting homeowners with urgent leak or drain problems. Each ad should include a strong hook, clear service promise, trust signal, and call-to-action to book service today.

TryPromptFlow does not just rewrite the prompt. It explains the weak spots so you can get better, more repeatable AI results.

Before

Unclear, inconsistent input

Write something about our product launch and make it exciting and include benefits.

After

Structured, usable output

Write a 150-word product launch announcement for [product]. Include: (1) the primary benefit in the first sentence, (2) three specific features with brief explanations, (3) a closing call to action. Tone: confident and direct. Avoid superlatives.

Clearer instructions, better output quality, less ambiguity

Before

Vague, unactionable process

When a ticket comes in, handle it. Check with the team if needed and make sure the customer is happy.

After

Step-by-step operational workflow

On ticket receipt: (1) Categorize by type within 15 min. (2) Assign to appropriate queue. (3) Send acknowledgment using template T-01 within 1 hour. (4) Escalate to Tier 2 if unresolved after 4 hours. Owner: Support lead on duty.

Cleaner handoff, reduced confusion, stronger operational consistency

Before

Ambiguous review criteria

Review the AI output and check if it looks right. If something seems off, flag it and we'll deal with it.

After

Explicit, traceable review steps

Review step: (1) Verify output matches the expected format defined in spec v2.3. (2) Check for missing required fields: [customer_id, status, timestamp]. (3) Flag any confidence score below 0.75 for human review. (4) Log result to audit trail with reviewer initials and timestamp.

Explicit acceptance criteria, traceable decisions, reduced operational risk

O que os usuários de acesso antecipado estão dizendo

Feedback específico de testers atuais usando o TryPromptFlow em trabalho real.

Estamos coletando feedback de testers atuais e publicaremos comentários aprovados aqui.

What you submit. What you get back.

You submit

→Weak prompt
→Broken SOP
→Unclear workflow draft

You get back

✓Diagnosis of what is wrong
✓Improved structure
✓Cleaner, usable output

For teams launching agentic workflows, operators diagnosing broken processes, and professionals who need cleaner prompts for daily AI work.

For Teams & Operations

Built for teams that need control, not chaos

TryPromptFlow helps teams move from ad hoc prompting to controlled AI workflow operations.

✓Versioned workflow and prompt changes
✓Structured validation and review
✓Documented deployment and security posture
✓Reviewed path for team and enterprise deployments

For Teams & Operations →

A camada de controle que falta nos seus fluxos de trabalho de IA

Histórico de versões

Rastreie alterações de prompts sem sobrescrita destrutiva

Registro de reparos

Veja o que mudou e por que foi reparado

Execuções de avaliação

Revise execuções pontuadas antes do lançamento

Prontidão para promoção

Promova versões que funcionam com confiança

Como funciona

Encontre a falha

Identifique qual prompt ou etapa do fluxo de trabalho está produzindo saídas fracas, inconsistentes ou incorretas.

Repare o prompt

Execute um diagnóstico e obtenha uma versão corrigida com requisitos, restrições e estrutura explícitos.

Compare versões

Revise o antes e o depois lado a lado para confirmar que o reparo aborda a causa raiz.

Revise as avaliações

Execute casos de teste pontuados contra a versão reparada para validar o desempenho antes do lançamento.

Promova com confiança

Promova a versão que passa no seu limite de avaliação. Mantenha o histórico de reparos para auditoria.

Onde as equipes usam o TryPromptFlow

Resumos de vendas perdem objeções

Seus resumos de chamadas gerados por IA pulam objeções e próximos passos, criando lacunas de acompanhamento.

Diagnostique os campos ausentes, repare o prompt, valide com exemplos reais antes da reimplantação.

Fluxos de suporte desviam da política

Agentes produzem respostas diferentes para a mesma consulta à medida que os prompts se degradam com o tempo.

Rastreie o histórico de versões, detecte desvios e restaure uma baseline aprovada estável com uma ação.

Automações de IA internas falham no QA antes do lançamento

Você construiu uma automação mas não consegue provar com confiança que ela lida com casos extremos antes de ir ao vivo.

Execute suítes de avaliação contra casos de teste salvos e promova apenas versões que passam no seu limite.

Construído para equipes que precisam de controle, não apenas velocidade

Prompts com versões

Cada mudança de prompt é rastreada. Nada é sobrescrito.

Avaliações salvas

Os resultados de avaliação são armazenados e vinculados à versão que os produziu.

Comparação somente leitura

Compare quaisquer duas versões lado a lado sem alterar nenhuma delas.

Endurecimento de segurança

Proteção CSRF, limitação de taxa e registro de auditoria em todas as operações.

Published research

Why speed matters

Published research suggests that AI can improve speed and productivity on certain work tasks. TryPromptFlow is built to help you get to usable results faster, with less rework.

Productivity evidence

MIT researchers reported that, in their study, ChatGPT users completed certain writing tasks about 40% faster and with 18% higher quality ratings.

Productivity evidence

Researchers from Stanford and MIT reported that a generative AI assistant increased customer-support productivity by 14% on average in the setting they studied.

If better prompts and clearer AI instructions save even 1 hour a week, that is 4+ hours a month back to your business.

Research findings come from specific task settings. Actual results vary by workflow, implementation, and user skill.

Preços

Preços simples e transparentes

Para equipes, o TryPromptFlow oferece aos funcionários orientação estruturada no fluxo do trabalho para criar prompts mais claros, para que os gerentes possam melhorar o uso da IA sem depender de coaching individual constante.

Planos de autoatendimento disponíveis. Os planos Enterprise estão disponíveis mediante análise.

After your 6-run trial: pick any plan below to keep going — or stop with no charge. No credit card required to start.

Teste grátis

Grátis

10 execuções padrão

Termina após 10 execuções ou 7 dias, o que ocorrer primeiro.

Sem cartão de crédito

Light

$9.99

por mês

50 execuções padrão / mês

+50 $9 · +100 $15 · +250 $29

Para uso pessoal ocasional ou recorrente

✓Plano de entrada de baixo custo
✓Bom para uso diário mais leve
✓Limite mensal claro
✓Compre mais uso a qualquer momento

Plano	Preço mensal	Execuções incluídas	Uso adicional	Melhor para	Checkout
Teste grátis	Grátis	10	N/A	Experimentar antes de assinar	Autoatendimento
Light	$9.99	50/mês	+50 $9 · +100 $15 · +250 $29	Uso pessoal ocasional ou recorrente	Autoatendimento
Pro	$19.99	200/mês	+50 $9 · +100 $15 · +250 $29	Uso individual regular	Autoatendimento
Business	$49	600/mês	+50 $9 · +100 $15 · +250 $29	Uso recorrente mais intenso	Autoatendimento
Enterprise	$79	1200/mês	+50 $9 · +100 $15 · +250 $29	Maior limite mensal público	Fale conosco

Perguntas frequentes

Como isso é diferente de uma biblioteca de prompts?+

Por que não testar prompts manualmente?+

Para quem é isso?+

Posso inspecionar sem mudar a produção?+

Como funcionam as avaliações?+

Pare de adivinhar o que está errado no seu fluxo de trabalho.

Diagnostique prompts quebrados, repare-os, compare versões e valide o desempenho antes do lançamento.

No credit card required · Cancel anytime · Your history is preserved

Request Enterprise Access

For teams that need reviewed deployment, stronger control, and operational consistency.

Request Enterprise Access →

Diagnostique prompts de IA fracos antes que façam você perder tempo.

One model has blind spots. We don't rely on one.

Escolha seu ponto de partida

Review the full agentic workflow before you trust it to run

Most AI failures are not a model problem. They are a workflow problem.

Catch risks before they ship, not after.

Built for people doing real work with AI

Use TryPromptFlow on desktop and mobile

Why AI output goes sideways — and what a diagnosis catches

See what changed, why it changed, and how to reuse the result

O que os usuários de acesso antecipado estão dizendo

Deixe uma avaliação

What you submit. What you get back.

Built for teams that need control, not chaos

Como funciona

Onde as equipes usam o TryPromptFlow

Construído para equipes que precisam de controle, não apenas velocidade

Why speed matters

Preços simples e transparentes

Perguntas frequentes