Convolut functions as a personal AI context bank, solving the problem of repeatedly feeding the same background information to language models. This system stores prompts, notes, and reference material in a searchable library, letting users instantly retrieve and stream context to AI agents without retyping. It handles file attachments, encrypts data both at rest and in transit, and offers API access for programmatic workflows. Users can copy, merge, and export contexts in formats optimized for LLM consumption. The free plan includes 20 contexts with up to 1,500 words each, while paid tiers start at $7 monthly for 200 contexts and 10,000 words per context, scaling to $12 monthly for unlimited storage.
Convolut targets knowledge workers who treat AI as a daily collaborator rather than an occasional utility. Researchers juggling multiple projects benefit from reusable literature summaries and methodology notes. Product managers maintain brand guidelines, feature specs, and user personas that inform every AI-generated brief. Engineers store code standards, architecture decisions, and debugging protocols to keep AI outputs consistent with team conventions. Content creators build libraries of style guides, audience profiles, and topic outlines that shape every draft. Power users who run dozens of AI queries daily find the most value, particularly those tired of pasting the same context blocks or losing track of effective prompts across scattered documents.
Convolut fits into workflows where context quality determines output quality. A technical writer working on documentation for three different APIs can store each product's terminology, audience profile, and formatting rules, then pull the relevant context before generating drafts. Marketing teams create shared context libraries for brand voice, campaign objectives, and competitor positioning, ensuring every AI-generated asset aligns with strategy. Freelancers managing multiple clients use separate contexts for each account's preferences and project history. The consolidate tool merges related contexts when projects overlap, while advanced export options format context for specific AI platforms. API integration allows developers to build custom tools that automatically attach relevant context to automated workflows, turning Convolut into infrastructure rather than just a reference library.
