Standardize access and evidence.
The gateway, runtime traces, evaluation contracts, and adversarial gate now share identity, policy, and evidence assumptions.
- 47 gateway tests
- 150k-span burst exercise
- 40-probe release gate
Independent work / Platform product strategy
When should products share an AI platform?
My independent projects explore where shared model access, evaluation, and release controls help product teams ship reliably. This proposed operating model brings those lessons together around adoption, reliability, and cost.
Explore the capabilitiesCapability map
One strategy. Five capabilities. A staged path to scale.
Each capability must remove a repeated constraint across two or more products and improve time, cost, risk, or evidence quality.
01LLM Gateway
Governed routing, DLP, quotas, fallbacks, and cost attribution.
The implemented control boundary moves provider risk and model selection out of application code. SproutRoute can switch back to its direct-provider path during migration. The next step is testing with live providers.
02Eval & Observability
Release decisions, runtime traces, cost diagnosis, and failure evidence.
The Control Tower combines model evaluation with runtime traces, failure filtering, and a responsive waterfall.
03Release Integrity
Automated red-team and compliance controls tied to launch owners.
The implemented PyRIT harness turns adversarial outcomes into a non-zero CI gate, redacted evidence, and named remediation ownership.
04Knowledge Grounding
Tenant-safe cited retrieval, with GraphRAG reserved for relationship-dependent use cases.
RAG Guardrails remains the baseline. The seller ontology tests source conversion and query routing locally. Hosted database and answer-quality tests are the next step.
05Agent Runtime & MCP
Delegation, tool contracts, trace privacy, recovery, and partial results.
The implemented SproutRoute MCP path validates the orchestration boundary without replacing the stable web product.
Three horizons
Sequence by adoption risk, not technical novelty.
The platform starts where teams already feel pain, proves value on real workloads, then expands only when shared infrastructure is cheaper and safer than local solutions.
Make enterprise context reusable.
Local tests cover tenant-scoped traversal, matching graph and document sources, and multi-hop query routing.
- 40 query + 40 document cases
- 0 tenant crossovers
- Hosted comparison planned
Scale controlled agent execution.
SproutRoute supplies the MCP agent runtime, privacy-safe traces, partial results, and the first reversible gateway workload.
- Four specialist agents
- Authenticated tool contract
- Local red-team target adapter
Proposed adoption model
A platform adoption contract teams can measure.
Shared infrastructure earns adoption when teams can migrate without losing product control. This scorecard makes the platform team accountable for onboarding, compatibility, evidence quality, and unit economics.
StagePlatform commitmentTeam commitmentDecision measure
Provide an SDK, reference service, policy defaults, and a trace viewer.
Name a workload owner and supply expected quality, latency, and data classes.
Target: first governed response in under 30 minutes.Run shadow traffic, compatibility checks, fallback tests, and cost comparison.
Validate product behavior and approve the deterministic-to-AI boundary.
Proceed when the platform meets the product SLO with no critical regression.Publish model, policy, cost, and incident changes through one evidence feed.
Review warnings, own product remediation, and close expired exceptions.
Target: every pilot release carries a verdict, owner, and evidence chain.Support exit and preserve trace export if the shared path fails the workload.
Document the unmet need and retain product-specific controls.
Exit when migration cost or SLO loss exceeds the measured platform benefit.Operating model
The platform is a contract between product teams and shared services.
Funding logic
Every capability carries a stop condition.
Fund
A shared capability when at least two workloads repeat the same control problem and the platform improves time, cost, risk, or evidence quality.
Federate
Domain logic, customer experience, prompts, and product-specific metrics remain with application teams under shared contracts.
Stop
If migration cost exceeds local benefit, teams bypass the control plane, or the capability cannot show measurable risk or unit-economic improvement.
Explore the projects
The projects behind the strategy.
Reference workloadSproutRoute
Gateway migration, verified-data boundaries, and the implemented MCP agent path.
Decision planeAI Eval Control TowerComparable model evidence and a release verdict teams can act on.
Integrity gateAI Safety AuditFairness segments, red-team probes, and explicit launch governance.
Knowledge baselineRAG GuardrailsRetrieval, provenance, safety checks, and release logic in one trace.
Implemented capability projects
Local benchmarkLLM Gateway
47 tests, semantic cache economics, DLP, fallbacks, quotas, and a reversible SproutRoute path.
Local evaluationGraphRAG LayerOne-source graph and corpus projections, safe Cypher, and an 80-case checked-in workbench suite.
Trace explorerAgent ObservabilitySpan logger, orchestrator reconciliation, failure-first waterfall, and 150k-span burst evidence.
Vulnerable-baseline testRed-Team HarnessPyRIT 0.14, 40 probes, three captured baseline attacks, seven compliance controls, and redacted artifacts.
Hosted MCP toolsMulti-Agent + MCPFour specialist agents, authenticated tools, partial results, and privacy-safe traces.
The product role
Platform strategy is adoption strategy.
The work is deciding what to centralize, what to federate, how to prove value, and when not to build. I treat those choices as product decisions.