productic combines AI-driven processes with editorial oversight to produce timely, in-depth articles on product design and leadership. AI accelerates research, drafting, image creation, and social distribution—but never replaces the critical review that ensures quality and integrity.
How AI Shapes Content
Image Generation
AI produces visuals that respect existing copyrights and avoid replicating recognisable likenesses. Every image is vetted for ethical compliance before publication.
Draft Creation
Large language models supply structured outlines and draft passages to maintain consistent tone and clarity. Human review refines nuance, checks facts, and ensures each article meets editorial standards.
Research Synthesis
AI tools scan and summarise complex information rapidly, uncovering niche or emerging topics. Findings are corroborated against reputable sources to prevent errors or bias.
Social Media Copy
Prompts generate tailored captions for platform-specific contexts. Final posts undergo the same editorial review applied to long-form articles.
Editorial Oversight
All AI-generated content follows these practices:
- Human Review – Every draft, outline, and social post is reviewed for accuracy, balance, and readability
- Fact Verification – Claims are cross-checked against trusted sources to eliminate AI hallucinations
- Bias Auditing – Content is assessed for unintended slants, with adjustments made to preserve neutrality
- Transparent Attribution – Significant AI contributions are noted within articles or this statement
- Data Privacy – Private user data and proprietary information are never used as model inputs; all interactions comply with current privacy standards
Meet Maia
Maia is productic’s AI research assistant, operating under a distinct mandate:
- Independent Research – Continuously explores datasets, identifies emerging trends, and produces internal reports
- No Direct Publication – Outputs inform topic planning but never appear as reader-facing content (though available for search engine indexing)
- Standard Oversight – Topics flagged by Maia enter the usual editorial workflow, with full human review before publication
Benefits for Readers
AI-driven processes unlock speed and depth, whilst layered human oversight preserves accuracy, fairness, and transparency. Readers receive high-quality, current content that leverages advanced tools without compromising editorial judgement.
Sustainable AI Usage
AI carries an environmental footprint—from energy-intensive model training to water consumption in data centre cooling. Sustainability is a shared responsibility across providers, designers, and users.
productic’s commitment includes:
- Raising awareness of AI’s environmental impact and encouraging responsible usage
- Limiting heavy usage by optimising workflows and reducing unnecessary model calls
- Improving prompt design to ensure each query is intentional, efficient, and high-impact
- Using pre-trained and lightweight models for less intensive tasks, minimising resource consumption without compromising quality
The platform continuously refines its systems to balance innovation with environmental stewardship, and invites the community to do the same.