From the moment Rizki Murtadha described PrompTessor as “a solo-built project” born of frustration over “shooting in the dark” when crafting AI prompts, I knew this platform had a clear mission: to turn guesswork into measurable improvement. As the sole founder, developer, and researcher, Rizki wore every hat—designer, engineer, test user—giving PrompTessor an authenticity that’s rare in AI tooling. He told me that, while experimenting with GPT and Midjourney, he realized that most guidance on prompt writing was vague at best and divorced from real performance data at worst.
That hands-on struggle shaped PrompTessor’s heartbeat: a structured, data-driven pipeline that not only scores prompt effectiveness but also delivers optimized rewrites. Whether you’re drafting a content marketing strategy or fine-tuning an image-generation query, PrompTessor promises clarity, consistency, and continuous learning.
Product Overview
PrompTessor offers two tiers of prompt analysis—Basic and Advanced—backed by a freemium model that keeps entry costs at zero.
Basic Analysis & Optimization delivers a 0–100 effectiveness score with detailed reasoning, highlights strengths and weaknesses, and presents multiple optimized variations along with clear improvement recommendations. For beginners and casual creators, this means instant feedback without a steep learning curve.
Advanced Analysis & Optimization dives into six critical metrics—Clarity, Specificity, Context, Goal Orientation, Structure, and Constraints—assigning each a sub-score and explaining how they influence AI behavior. Professionals can access multiple optimization approaches, implementation guides, quick-win tactics, and testing strategies that they can apply across GPT, ChatGPT, Midjourney, and other models.
Users register for free to access up to ten Basic analyses daily, then upgrade to Pro for unlimited Basic and 2,000 Advanced analyses per month at $10, or Pro+ for unlimited usage and batch evaluations at $15. This flexible pricing lets individuals and small teams scale without surprises, while keeping the core feature set accessible to everyone.
Deep-Dive Dialogue
From our conversation, Rizki’s commitment to practical insights was unmistakable.
Rizki Murtadha, Founder of PrompTessor: “Crafting the right prompt often felt like shooting in the dark—there was no clear way to measure effectiveness, no feedback, and no structured method to improve.”
I pressed him on how the platform translates vague prompts into concrete suggestions. He outlined a multi-layered pipeline: an LLM performs an initial semantic analysis to identify areas for improvement; custom scoring algorithms assign metric-level grades; then an optimization engine proposes rewordings tailored to each metric and model behavior.
Rizki Murtadha, Founder of PrompTessor: “We built PrompTessor to move beyond generic advice and provide concrete, data-backed analysis and optimized prompt versions—so users can actually learn what makes a good prompt and improve their results consistently.”
Curious about the target audience, I asked who benefits most from this approach.
Rizki Murtadha, Founder of PrompTessor: “PrompTessor is designed for anyone who wants better AI outputs—from complete beginners to experienced prompt engineers. Casual creators get quick clarity, while professionals and marketers use our Advanced analysis to drive business outcomes.”
He explained that content teams, prompt marketplaces, AI tool builders, and indie hackers all rely on prompt quality to save time and iterate faster. Even educators can use PrompTessor to teach prompt engineering as a core digital skill.
Market Significance
Prompt engineering is emerging as fundamental as SEO or UX writing once were, and the industry’s shift from experimentation to professionalization creates a clear opening for PrompTessor. While many AI assistants generate responses to prompts, few provide transparent feedback on prompt quality or guidance on improvement. By illuminating the “why” behind every score and offering model-specific rewrites, PrompTessor lowers the barrier for anyone to become an effective prompt engineer.
Competitors may offer prompt libraries or community forums, but most leave users to guess which templates work and why. PrompTessor’s hybrid approach—combining LLM analysis with hand-tuned metric frameworks—delivers both speed and depth. Its freemium model further amplifies reach: newcomers can explore without cost, while power users unlock advanced features at a modest subscription fee.
The challenge ahead will be sustaining scoring accuracy as AI models evolve. Rizki’s roadmap includes Prompt A/B Testing to compare real outputs side by side, and an API to integrate prompt evaluation into external platforms. These additions will cement PrompTessor as a necessary layer in every AI workflow, from prototyping to production.
Roadmap Ahead
Looking forward, Rizki has outlined a series of enhancements that promise to keep PrompTessor at the cutting edge:
- Prompt A/B Testing
Users will run different prompt variants against live model outputs, with side-by-side UI and performance metrics, so they can validate improvements in real time. - Prompt Library & Templates
A curated repository of high-impact prompt structures for common tasks—marketing strategies, code generation, creative storytelling—will let users save, categorize, and reuse proven patterns. - Team Collaboration Tools
Shared workspaces, feedback threads, and version histories will enable distributed teams to co-edit prompts, track changes, and maintain consistent voice across projects. - API Access
Developers and platform owners can programmatically submit prompts for analysis and receive optimized variants, embedding PrompTessor’s intelligence into third-party tools.
Each feature is aimed at making prompt optimization an automated, measurable, and continuous process rather than a one-off experiment. Rizki envisions a future where every AI interaction—from generating marketing copy to designing UIs with Midjourney—is underpinned by rigorous prompt engineering best practices.
In our discussion, Rizki emphasized that PrompTessor isn’t merely a tool—it’s a learning companion that grows smarter with every analysis. By providing actionable feedback and tracking prompt history over time, it empowers users to refine their craft and unlock AI’s full potential.
— Johnny, Tech Reporter
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