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Spec Builder
Turn your raw idea into a structured spec so every requirement is explicit before we touch an LLM.
Promptly · Workflow Modes
Vibe Coding Prompt Optimization Studio
From messy thoughts to execution-ready prompts. Built for Vibe Coding and AI Assisted Coding teams.
How would you like to start?
Pick a workflow mode. Switch anytime.
Layer 1 · Magic Mode
Dump Your Thoughts Here
Vibe Coding starts with a messy idea. Paste your brainstorm, your rough notes, your half-formed directive - we'll turn it into a structured, execution-ready prompt your AI agent can actually act on.
Context or Source Text (Optional)
This helps Promptly understand existing material without forcing you to share it.Pipeline Working Status
Selected via Outcome Runner (best-of-N evaluation)
Spec Builder
Structure
✓
Question Engine
Clarify
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LLM Agents
Draft
✓
Metrics & Scoring
Score
✓
Outcome Runner
Select
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Goal: Analyzing...
Constraints: ...
Tone: ...
?
Q1: Waiting...
Q2: ...
Q3: ...
Architect → ...
Editor → ...
Judge → ...
Candidate 1
Candidate 2
Candidate 3
Top Pick
Promptly’s pipeline will show you how your best prompt is chosen.
If the output looks the same as the input, the backend will automatically try a more aggressive rewrite.
Best Prompt Output
We run Spec → Questions → LLM agents → Metrics → Outcome Runner before surfacing this prompt.Fine-tune the structural instructions and constraints that guide the agents behind the magic.
Instruction blueprint (Optional)
Describe how the agents should approach the prompt (tone, flow, guardrails).Demonstration examples (Optional)
Share one input/output pair so agents know desired output style.Constraints & style (Optional)
List formatting rules, length, safety limits, or tone you care about.Only open this when you want dataset-style control over samples, schema, and optimization knobs.
POS / NEG dataset snippets (Optional)
List a few positive/negative examples to bias scoring.Schema or output template (Optional)
Define the structure we should respect in the final prompt.Optimization knobs (Optional)
Control candidate count, evaluation tests, or sampling behavior.Used by developers from...
Built for Vibe Coding and AI Assisted Coding teams shipping with AI agents.
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✨ Why Promptly beats a plain AI model
We run a structured pipeline—spec building, question refining, multi-agent orchestration, scoring, and Outcome Runner selection—powering Vibe Coding and AI Assisted Coding beyond one-shot prompts.
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Question Engine
We ask targeted follow-up questions (Q1–Q3 flow) to remove ambiguity and surface context you might forget.
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LLM Agents
Specialized agents (Architect, Editor, Judge, etc.) craft multiple candidate prompts instead of relying on a single response.
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Metrics & Scoring
Every candidate is scored on clarity, coherence, style match, safety, cost, and risk to quantify quality.
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Outcome Runner
The Outcome-First runner applies your success criteria, compares best-of-N candidates, and returns the most reliable result.
🔧 Algorithm Specs
- Structured spec – JSON-ready blueprint guides every subsequent stage.
- Clarifying questions – Removes guesswork before generating prompts.
- Multi-agent orchestration – Different agents collaborate on architecture, editing, and judgment.
- Best-of-N selection – We compare candidates rather than returning the first hit.
- Metric panel – Coherence, style, pass rate, cost efficiency, and risk scores feed into the payoff.
- Outcome Runner – Picks the winner according to your defined tests/criteria.
🚀 Every enhancement passes through the Spec → Question → Agent → Outcome pipeline so the result you copy is the top-ranked candidate after multi-metric scoring.