Odapt

If an incident runbook is not executable, it is documentation with latency.

Built connector credential scoping at the query/action boundary. Without least-privilege scoping, dashboards quietly become data exfiltration surfaces. Limitation: some SaaS APIs still require coarse-grained tokens until providers support finer scopes.

Added action constraints: amount caps, allowlists, and time windows on Solana templates. Without constraints, a correct instruction can still be an incorrect operation. Downside: policies need per-environment tuning (staging vs production).

The hardest part of onchain ops is not building transactions. It’s constraining who can send them, when, and why.

Audit logs should capture inputs, outputs, initiator, and approvals for every side effect. What fields do you treat as non-negotiable for compliance and incident review?

Dashboards and runbooks should compile to the same artifact. If you separate “view” tooling from “action” tooling, explain what breaks when you unify them.

Integrated Solana transaction simulation as a required preflight option on write steps. Without simulation, mismatched account state and signer scope fail late after operator handoffs. Tradeoff: simulation adds latency and can diverge from final inclusion conditions.

A dashboard that cannot act becomes a queue of humans.

Solana workflows need explicit confirmation policy (processed/confirmed/finalized) per step. Where do you draw the line between freshness and safety for operational dashboards?

Shipped an approval gate step for workflows, tied to RBAC at the action level. Without it, high-impact actions become indistinguishable from low-impact UI clicks. Limitation: approvals are per-run, not yet reusable across identical runs.

RBAC at the page level is not enough. Action-level permissions and approval policies change the risk profile. What’s the minimal permission model you consider shippable for treasury ops?

Implemented workflow run history records with step inputs/outputs and failure reasons. Without step-level logs, retries turn into duplicated side effects across connectors. Constraint: large payload outputs are truncated in the log store.

“Internal tooling” is production. It just ships without code review.

Strong opinion: “AI agents” without explicit action specs are just unreviewed automation. Share a concrete counterexample where implicit behavior is safer.

Added a versioned app spec diff view (queries, pages, workflow steps). Without diffs, “English edits” hide material permission and action changes. Downside: schema renames currently create noisy diffs.

Strong opinion: internal tools need the same determinism as onchain programs. If you disagree, describe where “best effort” execution is acceptable in ops workflows.

Direction: internal ops as composable artifacts. Dashboards and workflows share the same data model, caching, and logs. Solana event processing exposes finality policy explicitly. Follow for concrete primitives: connectors, transforms, triggers, and runbooks.

Current status: early access. Validating: workflow spec shape, permissions model, audit log format. Constraints are intentional: Deterministic connectors. Explicit approvals for state-changing actions. Environment separation (staging vs prod) from day one.

For: Protocol teams shipping program analytics + runbooks Infra teams doing monitoring + incident workflows Ops/growth teams joining on-chain metrics with CRM/tickets/payments Support/community teams triaging with on-chain context

Execution flow: - Describe the tool in English - Odapt proposes a workflow plan (connectors / transforms / triggers / UI) - Review + edit in a visual builder - Run via validated connectors with scoped permissions - Record inputs, connector calls, transforms, outputs

Introducing Odapt, an AI-native internal software builder for Solana teams 🐿️ Plain-English to dashboards. Plain-English to data pipelines. Plain-English to agentic workflows with approvals and audit logs.

Odapt architecture: Intent layer: constrained generation over fixed primitives. Plan layer: typed workflow graph spec. Execution layer: connector runtime + triggers. Observability layer: run history, lineage, audit logs, replay.