AI Platform
AI That Shows Its Work
Most enterprise AI is a black box. ODE is an open book. Every recommendation is verifiable. Every memory is governable. Every action is auditable. Every cost is tracked.
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Verifiable Reasoning
AI that shows its work — not just its answer
Most AI systems produce answers and hide their reasoning. ODE produces checkable artifacts. Every AI recommendation includes the evidence chain: what data was consulted, what logic was applied, and what confidence level the system assigns. You don't have to trust the AI — you can verify it.
Evidence-linked outputs: every recommendation points to the data that produced it
Confidence scoring: explicit uncertainty quantification on every output
Reasoning trace: step-by-step logic chain available for any AI action
Human override: reject any AI recommendation with one click, and the system learns
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Programmable Forgetting
Memory with TTL, sensitivity labels, and consent-based retrieval
AI memory is a liability without governance. ODE implements programmable forgetting — every stored memory has a time-to-live, a sensitivity classification, and consent metadata. Ask the system "why do you remember this?" and get a provable answer. Delete any memory, and it's gone — no residual embeddings, no hidden caches.
TTL on all AI memory: data expires automatically based on policy
Sensitivity labels: personal, confidential, public — each with different retention rules
Consent-based retrieval: the system tracks WHY it was allowed to store data
Right to forget: one-click deletion from active storage with verification and configurable backup retention
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Budget-Aware Agents
Every AI action has a cost — and a budget
AI agents without cost controls are a financial risk. ODE agents operate under explicit budgets. Before every action, the agent estimates its cost. If the action would exceed the budget, the agent stops and asks. Agents optimize for value-per-token, not just accuracy. You set the ceiling — the AI works within it.
Per-task cost estimation before execution
Budget ceilings per agent, per department, per project
Value-per-token optimization: agents choose cheaper approaches when quality is sufficient
Cost ledger: complete accounting of every token spent, by whom, for what purpose
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Constitutional AI Law
50+ behavioral properties, tested automatically, every release
ODE's AI C-Suite operates under a written constitution — 94+ laws that govern behavior, authority, communication, and accountability. These aren't guidelines. They're enforced constraints tested automatically. Every AI action is checked against the constitution before execution. Violations are logged, flagged, and escalated.
94+ platform laws governing AI behavior (published in .kiro/steering/)
Automated compliance testing on every deployment
Behavioral constraints: what the AI can do, can't do, and must do
Escalation protocol: violations trigger immediate human review
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Auditable AI — OneRecord Architecture
Five audit dimensions for every AI action
Every AI action in ODE produces a OneRecord — a five-dimensional audit trail that answers the questions regulators, executives, and compliance teams actually ask. Not a black box. Not a log file. A structured, queryable record of exactly what happened and why.
Data Provenance: What data influenced this decision? Where did it come from?
Tool Lineage: What tools, APIs, or models were used? What versions?
Confidence Score: How certain is the system? What are the uncertainty bounds?
Policy Record: Which rules, laws, or constraints were applied?
Cost Ledger: How much did this action cost in compute, tokens, and time?
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Voice-First AI
Six voice personas — your AI has a phone number
ODE doesn't just type — it talks. Six voice personas handle customer service, sales follow-up, executive communication, and personal assistance. Call 1-844-LLEW-ODE and speak to your data. Real Gmail integration, real Calendar data, real-time voice interactions — powered by open-source models with no third-party per-minute licensing fees.
Maya: Customer service — inbound support and issue resolution
Jordan: Customer success — proactive outreach and relationship management
Alex: Sales lead qualification and follow-up
Morgan: Deal closing and sales support
Sam: User onboarding and usability assistance
ATLAS: Executive communication — CEO-level voice agent
OneRecord Architecture
Five Audit Dimensions for Every AI Action
Every AI action in ODE produces a structured, queryable audit record. Not a log line — a five-dimensional evidence trail.
Data Provenance
“What data influenced this?”
Every AI output links back to its source data — database rows, API responses, uploaded documents. No orphan outputs.
Tool Lineage
“What tools were used?”
Every model call, API invocation, and tool execution is recorded with version numbers and parameters.
Confidence Score
“How certain is the system?”
Explicit uncertainty quantification. The system tells you when it doesn't know — instead of guessing confidently.
Policy Record
“Which rules were applied?”
Every AI action references the platform laws, business rules, and compliance constraints that governed its behavior.
Cost Ledger
“How much did this cost?”
Token counts, compute time, API costs, and resource utilization — tracked per action, per agent, per department.
Every action. Every agent. Every time.
OneRecord is not optional. It's the foundation of ODE's architecture. Built in from day one — not bolted on after an audit finding.
AI C-Suite
An AI Executive Team That Never Sleeps
ODE operates with a full AI C-Suite — specialized agents that handle specific business functions around the clock. Each agent operates under the platform constitution with full audit trails and escalation protocols.
Strategic oversight, platform governance, CEO communication
Security, compliance, board-level governance
Financial analysis, treasury, investor relations
HR operations, workforce management, culture
Training, development, LinkedIn strategy, personal coaching
Platform architecture, technical roadmap, infrastructure
Marketing, brand, content strategy, market analysis
Sales pipeline, investor portal, revenue strategy
Accounting, budgets, financial reporting, compliance
Legal operations, contract review, regulatory compliance
Security operations, threat detection, incident response
Differentiation
What Makes ODE AI Different
| Capability | Typical Enterprise AI | ODE AI Platform |
|---|---|---|
| Reasoning transparency | Hidden chain-of-thought | Verifiable evidence chains |
| Memory governance | Indefinite storage, no TTL | Programmable forgetting with consent tracking |
| Cost control | Pay-per-use, no budget limits | Per-agent budgets, value-per-token optimization |
| Behavioral constraints | Prompt engineering, hope for the best | 94+ constitutional laws, automated testing |
| Audit trail | Log files, maybe | Five-dimensional OneRecord on every action |
| Voice capability | Text-only or third-party TTS | Six native voice personas, real data access |
| Agent structure | Single chatbot | Full AI C-Suite with roles, authority, and accountability |
Enterprise AI That Earns Trust
Stop hoping your AI does the right thing. Start knowing. ODE AI is verifiable, governable, budgeted, and auditable — by design.

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