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Adobe vs DSPy

Adobe scores higher on the AgentReady, 51/100 against 47/100. They differ on 11 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Adobe. Adobe products and services empower developers to create memorable digital experiences through developer creativity

DSPy. DSPy is a Python framework for building AI systems.

Where Adobe is ahead

Adobe passes llms-full.txt / full agent docs, and DSPy does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: structured api reference. DSPy misses it.

And on adopt, official typescript sdk. DSPy misses it.

Finally, on operate, observable execution and agent compatibility verified. DSPy misses those.

Where DSPy is ahead

DSPy passes llms.txt published, and Adobe does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: pricing understandable. Adobe misses it.

And on adopt, self-service signup, free trial or free allowance, fast time to first request and copyable quickstart. Adobe misses those.

What neither does

Both fail public docs discoverable, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover. Both sit at 80/100 here. Adobe misses public docs discoverable, llms.txt published; DSPy misses public docs discoverable, llms-full.txt / full agent docs.

Understand. Adobe leads 31 to 23. Adobe misses openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; DSPy misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. DSPy leads 60 to 40. Adobe misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart; DSPy misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, official typescript sdk.

Operate is whether an agent can run against it in production and recover when a call fails. Adobe leads 53 to 24. Adobe misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; DSPy misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Adobe does not publish a machine-readable starting price. DSPy does not publish one and has a free tier.

Signal by signal

Which to pick

DSPy clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Adobe and DSPy. Alternatives to each: Adobe, DSPy.

An agent can fetch this as data: POST /v1/compare {"slugs": ["adobe", "dspy"]}