RESOURCES
Plan the system,
understand the tradeoffs
Explore models, architecture, deployment and governance. Read each abstract first, then provide your details to access the full guide.
Find what your next decision needs
Follow a reading path to clarify scope, the evidence you need and the next step.
Make the AI investment caseClarify costs and benefits, then define the baseline, assumptions and responsibilities for a proposal.
Define benefit and cost units
Prepare the investment decision
Define acceptance for a knowledge systemChoose the task, prepare sources and access, then decide how to verify the result.
Choose the task and actions
Prepare documents, versions and access
Enterprise Knowledge Structuring8 min · Read the summary; fill in the form for the full guide.
Define acceptance evidence
Assess a GEO or FDM proposalSeparate measurement from deliverables, then review the trial and ongoing operation of a marketing workflow.
Clarify how GEO and SEO relate
Compare the work in each proposal
Review the build, trial and operations
The FDM Enterprise Playbook5 min · Read the summary; fill in the form for the full guide.
2026.10 · BILINGUAL PRESENTATION
Enterprise AI agents, from assessment to operations
A 35-slide presentation covering four service stages, five Tenten integration cases and eight public Japanese enterprise adoption examples.
Japanese enterprise examples are third-party references, presented separately from Tenten client cases.
Featured
Harness Engineering
Designing Tool Boundaries, Durable State, Budgets, and Review Around the Agent Loop
Software 3.0 in Production
Natural-Language Instructions, Task Evidence, and Accountable Review
The Million-Token Codebase
Choosing Curated Context, Retrieval, and Caching for Codebase Tasks
Choosing a Coding-Agent Model in 2026
A Task-Based Framework for Capability, Accepted-Task Cost, Controls, and Provider Compatibility
Spec-Driven Agentic Development
A Practical Specification for Scope, Acceptance, Versions, and Review
Sandboxed Autonomy
Separating Editing Workspaces from Runtime, Network, and Credential Controls
Background Agents
Scoping Background Jobs, Recovery, Concurrency, and Review
Multi-Agent Failure Modes
A Practical Guide to Context, Tools, Dependencies, and Evaluation
RAG at Enterprise Scale
Evaluate chunking, retrieval, citations and operating tradeoffs on your own workload
Fine-Tuning vs RAG
A Decision Framework for Enterprise AI: When Each Approach Earns Its Cost
The FDE Operating Model
How Forward Deployed Engineering Teams Build AI Systems That Last and Transfer Capability Alongside Code
Agentic AI Governance
An Operational Runbook for Regulated Enterprises: Audit Trails, Checkpoints, and Shutdown Procedures
Evaluation Drift
Planning Baselines, Calibrated Review, and Risk-Based Monitoring
AI in Regulated Environments
Planning Data, Access, Review, and Evidence Within the Applicable Regulatory Scope
Hermes Agent Architecture
A Reference Pattern for Durable State, Bounded Agents, and Failure Recovery
Enterprise Knowledge Structuring
Preparing Documents, Versions, and Access Rules for Retrieval
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