Wissly Code launches: an AI coding agent for your internal network
Platum covers the launch of Wissly Code. Explore local AI code writing and execution, code changes and app previews, and what to prepare for an isolated network.
Wissly Journal
Read deeper into the context of work.
Selected insights
From making better use of internal documents to preparing for AI adoption.
Enterprise data ontology: a practical guide to documents and ERP
Understand enterprise data ontology through objects, properties, relationships, and shared definitions. Explore assets, products, teams, and a practical document and ERP example.
Ontology adoption checklist: data, identities, and business definitions
Prepare enterprise ontology adoption by reviewing business questions, sources, identities, relationships, definitions, permissions, and updates. Includes practical evaluation cases.
Ontology, knowledge graphs, and RAG: differences and how they work together
Compare ontology models, knowledge graph connections, and RAG retrieval. Explore how they work together, how they relate to digital twins, and what to evaluate separately.
WISSLY IN A BOX launches: an integrated appliance for on-premises AI
StartupN covers the launch of WISSLY IN A BOX. Explore its integrated hardware, local AI stack, and Wissly software, plus the conditions to review before installation.
AI appliance or an existing GPU server: which deployment fits your team?
Compare an AI appliance with SI deployment on your existing GPU servers, including hardware readiness, integrations, installation requirements, and operational support.
Preparing an AI coding agent for an air-gapped network
Prepare local models, runtimes, packages, project files, and an end-to-end test before using an AI coding agent inside an isolated network.
Enterprise AI deployment: SaaS, private cloud, or on-premises?
Compare SaaS, private cloud, and on-premises AI through data location, network access, document integration, and operational responsibility before choosing a deployment.
An enterprise generative AI security review checklist
Review enterprise AI data flows, document permissions, external connections, retention, deletion, and incident ownership with practical questions and test scenarios.
Writing an RFP for enterprise document AI
Define workflow scope, repository integration, document permissions, evaluation, deployment, and maintenance in an enterprise document AI RFP, with practical requirement examples.
How to evaluate an enterprise RAG PoC: answers, citations, and permissions
Build a practical RAG PoC scorecard using real work questions, and evaluate retrieval, answer quality, citations, permissions, and document updates separately.
Building an internal tool with AI: from CSV rules to a tested interface
Define inputs, aggregation rules, error handling, and verification when building a CSV business tool with an AI coding agent, using a concrete example.
Piloting an AI coding agent on an existing project
Choose a bounded module, prepare development notes and reproduction steps, then review code changes and test results when introducing an AI coding agent to an existing project.
Preparing NAS and shared folders for AI document search
Prepare repository scope, representative files, access accounts, user permissions, duplicate versions, and update conditions before connecting NAS and shared folders to AI search.
Keeping enterprise RAG current: document updates, deletion, and permissions
Test document edits, deletion, renamed files, and permission changes separately to keep RAG answers and original-document links aligned with your working collection.
Notion Database Body Search Not Working? Fixes & AI Search Alternatives
Fix Notion database body search limitations. Learn fast shortcuts, workspace search filters, and how to query Notion alongside your internal company drives seamlessly.
Tallinn taps StepHow to test AI assistant for public-sector document search
The PoC connects Wissly to legal, permit, and document systems as governments weigh trustworthy generative AI tools
What Is an Enterprise AI Platform? A Practical Guide to AI Adoption
Learn what an Enterprise AI Platform is and how to choose the right architecture. Explore data silos, RBAC security, Enterprise RAG, hybrid deployment, and Work AI deliverables.