Build AI workflows with defined steps and checked outputs.
Compare Blueprints, skills, agent harnesses, and automation platforms by how they execute steps, check outputs, and control access.
The comparison
See how Barndoor Automations compares to other approaches to AI automations
Blueprint | Skills | Agent Harnesses | Orchestration Frameworks LangChain, CrewAI, AutoGen | iPaaS | |
|---|---|---|---|---|---|
Create | |||||
AI inference Judgment, not just rules | AI inference is scoped to the steps that need judgment. | Full reasoning — ad hoc and unscoped | Full reasoning inside an open-ended loop | Fixed paths in code; agent-driven in their no-code builders | AI steps the builder adds |
Reliable Same shape, every run | The runtime validates declared output schemas before callers or later steps use the results. | Inconsistent. No schema. | Built to explore, not to return a fixed contract | Output shape is yours to enforce | Deterministic steps; checking the AI step's output is the builder's job |
Distribute | |||||
Distributable Callable beyond one laptop | The same Blueprint can be called through an API or MCP, or run on a schedule. | Assigned by group, but the model decides when and how it runs, and skills don't sync across surfaces | Usually interactive / IDE-bound | Distributable after you build the serving layer | Central, but locked to that platform |
Self-hostable Your infra, your keys | Its open-source runtime runs on your own infrastructure or in Barndoor Automations cloud. | Runs wherever the agent that loads it runs; the model decides when | Runs wherever you run the harness: a laptop, your servers or the vendor's cloud | Open-source libraries — yes | Their cloud, or a self-hosted copy of the whole platform |
Govern | |||||
Governable Access and data protection | On Barndoor, gateway RBAC, ABAC, and DLP apply to every call. Standalone SSO and audit logs are coming soon. | Assigned by group with per-tool permissions; the model decides when and how it runs | Permissions of the host tool, not the task | You build RBAC, DLP, and audit yourself | Guardrails, identity and audit are opt-in or top-tier |
Observable Readable, versioned history | Barndoor stores execution results. Run-history retention depends on your plan. | Admin telemetry, not a versioned run history | Session logs, rarely structured or queryable | Tracing is extra plumbing | Logs exist; generation is still a black box |
And the payoff | |||||
Fast to ship Idea → running process | A plain-English goal can become a governed Blueprint you review before running. | Minutes to write. Zero production. | Fast to explore. Slow to harden. | Fast prototype. Expensive production. | Fast to build; governing the AI step is extra work |
Swipe any row sideways to compare the other approaches.
Create
AI inference
Judgment, not just rules
BLUEPRINT
AI inference is scoped to the steps that need judgment.
SKILLS
Full reasoning — ad hoc and unscoped
AGENT HARNESSES
Full reasoning inside an open-ended loop
ORCHESTRATION FRAMEWORKS
Fixed paths in code; agent-driven in their no-code builders
IPAAS
AI steps the builder adds
Reliable
Same shape, every run
BLUEPRINT
The runtime validates declared output schemas before callers or later steps use the results.
SKILLS
Inconsistent. No schema.
AGENT HARNESSES
Built to explore, not to return a fixed contract
ORCHESTRATION FRAMEWORKS
Output shape is yours to enforce
IPAAS
Deterministic steps; checking the AI step's output is the builder's job
Distribute
Distributable
Callable beyond one laptop
BLUEPRINT
The same Blueprint can be called through an API or MCP, or run on a schedule.
SKILLS
Assigned by group, but the model decides when and how it runs, and skills don't sync across surfaces
AGENT HARNESSES
Usually interactive / IDE-bound
ORCHESTRATION FRAMEWORKS
Distributable after you build the serving layer
IPAAS
Central, but locked to that platform
Self-hostable
Your infra, your keys
BLUEPRINT
Its open-source runtime runs on your own infrastructure or in Barndoor Automations cloud.
SKILLS
Runs wherever the agent that loads it runs; the model decides when
AGENT HARNESSES
Runs wherever you run the harness: a laptop, your servers or the vendor's cloud
ORCHESTRATION FRAMEWORKS
Open-source libraries — yes
IPAAS
Their cloud, or a self-hosted copy of the whole platform
Govern
Governable
Access and data protection
BLUEPRINT
On Barndoor, gateway RBAC, ABAC, and DLP apply to every call. Standalone SSO and audit logs are coming soon.
SKILLS
Assigned by group with per-tool permissions; the model decides when and how it runs
AGENT HARNESSES
Permissions of the host tool, not the task
ORCHESTRATION FRAMEWORKS
You build RBAC, DLP, and audit yourself
IPAAS
Guardrails, identity and audit are opt-in or top-tier
Observable
Readable, versioned history
BLUEPRINT
Barndoor stores execution results. Run-history retention depends on your plan.
SKILLS
Admin telemetry, not a versioned run history
AGENT HARNESSES
Session logs, rarely structured or queryable
ORCHESTRATION FRAMEWORKS
Tracing is extra plumbing
IPAAS
Logs exist; generation is still a black box
And the payoff
Fast to ship
Idea → running process
BLUEPRINT
A plain-English goal can become a governed Blueprint you review before running.
SKILLS
Minutes to write. Zero production.
AGENT HARNESSES
Fast to explore. Slow to harden.
ORCHESTRATION FRAMEWORKS
Fast prototype. Expensive production.
IPAAS
Fast to build; governing the AI step is extra work
Use a Blueprint from the tools you already have. Claude and other MCP clients can call it as a tool. To turn an existing canvas workflow into a Blueprint, describe its steps and review the file the assistant drafts.
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