PROMPTFORGE 2026 · AGENTIC PROMPT STUDIO
Engineer Prompts Like an Expert
Build multi-turn agent flows, define MCP tool schemas, and export production-ready API payloads — tailored per model, per vendor.
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Claude Sonnet 4.6
Anthropic · 200K context
Extended ThinkingXML TagsVision
Prompt Quality70/100
Tokens
~31
Est. Cost
$0.0001
Tools
0
🛠️
Tool Schemas — MCP / Function Calling
No tools defined. Autonomous agents need function schemas to interact with the environment.
Conversation Flow — drag to reorder
⚙️
⠿ drag✕ remove
~26 tokens1 variable
👤
⠿ drag✕ remove
~4 tokens1 variable
◈Claude Sonnet 4.6 Syntax Guide
Best cost/intelligence ratio — ideal for production agentic pipelines
Combine extended thinking with tool use for reliable multi-step agent loops
Use {{template_vars}} in prompts for runtime injection via API
Negative examples in <examples> reduce hallucination in structured extraction
<role>...</role>
<instructions>...</instructions>
<examples>...</examples>
<output_format>...</output_format>
Live Quality Analysis
✓ STRENGTHS
Comprehensive system context defined
Chain-of-thought reasoning enforced
2 dynamic template variable(s) detected
⚡ IMPROVEMENTS
Claude Sonnet 4.6 benefits greatly from XML tags: <role>, <instructions>, <examples>
Add hard constraints: 'Never fabricate data', 'Always verify before acting'
Specify the exact output format — JSON schema, Markdown structure, or prose template
Template Variables
Cost Estimate
Input (~31 tokens)$0.0001
ModelClaude Sonnet 4.6
Rate$3/M in · $15/M out