Agent foundations
Enterprise Agent Patterns
How real agent systems separate intent, tools, memory, routing, and human review.
Teaches agent anatomy, orchestration, tool calls, and debugging without exposing client agents.
AI Factory
What TheoSym's AI factory can build.
These cards show the categories of AI systems TheoSym can teach and build for you: agents, RAG, model routing, local AI, regulated workflows, media operations, and SMB automation.
Inference infrastructure
Inference and Serving Systems
How production AI systems serve models, control latency, monitor usage, and scale safely.
Supports courses on model serving, latency, observability, and deployment tradeoffs.
Document intelligence
Private Knowledge and RAG
How teams turn documents, SOPs, policies, and expert knowledge into grounded AI answers.
Supports guides on private knowledge bases, citation quality, chunking, retrieval, and answer evaluation.
Enterprise agents
Connected Business Agents
How agents connect to business data, reason over it, and return useful evidence-backed outputs.
Supports courses on connected agents, trusted business insights, and human review loops.
Model routing
Model Routing and Local AI
How teams choose between frontier models, local models, specialized engines, and fallback paths.
Supports training on model selection, cost control, task routing, local AI, and fallback design.
Quantum-classical systems
Quantum-Classical Architecture
How quantum-classical systems are framed for executives and technical decision-makers.
Supports executive-level guides on quantum-classical architecture, not proprietary engine details.
Quantum agents
Scientific Calibration Agents
How scientific agents plan, execute, analyze, and document controlled technical workflows.
Covers scientific agents, calibration loops, and technical decision records.
Bio and pharma AI
Bio and Pharma AI Workflows
How regulated teams think about models, evidence, scientific data, and human approval.
Covers pharma and lab AI courses, including where ChatGMP, DeepGMP, and LIMS AI fit regulated work.
Video intelligence
Video Intelligence and Search
How media becomes transcripts, searchable knowledge, summaries, clips, and Q&A systems.
Supports guides on media indexing, transcript intelligence, and creator/operator AI workflows.
Localization
Multilingual Content Operations
How content moves across languages while preserving message, timing, and brand voice.
Covers cross-language GEO and multilingual content operations.
Agentic commerce
Agentic Commerce
How AI supports catalog enrichment, negotiation, checkout, support, and merchant control.
Supports SMB guides on agentic commerce, merchant control, negotiation flows, and risk boundaries.
Social AI operations
Social and Campaign Operations
How AI assists scheduling, publishing, feedback loops, campaign intelligence, and content repurposing.
Supports courses on content operations, campaign loops, social listening, and AI-assisted distribution.
What this means for you
You see the capability. Client code stays private.
Each card covers a kind of system you may need: agents, RAG, model routing, local AI, regulated workflows, media operations, and SMB automation.
Each category can become a course module, guide, workshop, or build sprint, with the technical depth scoped to your actual goals.
Use these cards to
- Find the kind of system that fits your problem.
- Preview what weekly Coding with AI covers.
- Bring concrete examples to your strategy call.
- Scope a private build sprint with clear architecture and risk boundaries.