Raltic field guide
How to evaluate an AI agent platform without buying the demo
A polished agent demo usually shows the happy path and hides the expensive parts: context assembly, permissions, failed tools, reviewer effort, and recovery. Test the operating model before you compare feature lists.
Move from the definition to the operating decision without losing the thread.
Direct answer
Evaluate an AI agent platform with one real, bounded workflow. Give every vendor the same brief, sources, permissions, and acceptance criteria. Then test a normal run, a missing-source case, a failed tool, a reviewer rejection, and an interrupted run. Score time to reviewable value, evidence quality, recovery, permission clarity, human effort, and whether the final record can be reused. Do not choose on output fluency alone.
Start with one workflow the team already understands
A useful evaluation begins with a familiar process, not a vendor's scripted example.
Choose work that repeats, has real evidence, and ends with a named human decision. Launch readiness, customer-risk review, research synthesis, and bounded code review work well because the team can recognize a good artifact and spot missing proof.
Write the brief before opening a product. Include the source set, date cutoff, prohibited actions, expected artifact, and acceptance criteria. Every platform should receive the same task. Otherwise, the evaluation measures demo quality rather than product fit.
- 01One recurring process
- 02One accountable owner
- 03Known source material
- 04A reviewable artifact
- 05A decision that must remain human-owned
Break the happy path on purpose
The fastest way to understand an agent platform is to watch it fail and recover.
Remove a required source. Expire a credential. Give two sources that disagree. Reject the first output and ask for a revision. Interrupt a run midway. These are ordinary operating conditions, not edge cases, and they expose whether the product has useful state or merely a convincing final answer.
A strong system identifies what failed, preserves completed work, shows what remains uncertain, and gives a person a reasonable next action. A weak one retries silently, loses the brief, or reports success because the process ended.
- 01Missing or stale evidence
- 02Unavailable tool or expired credential
- 03Conflicting sources
- 04Reviewer rejection
- 05Interrupted run and resume
Score operating quality, not model charisma
The winning output is the one a reviewer can trust, correct, and reuse with the least hidden work.
Measure time from the brief to a review-ready artifact. Check whether claims point to adequate evidence and whether uncertainty is visible. Count the corrections a reviewer makes, but also record why: poor source selection, lost context, weak tool use, or an unclear brief require different fixes.
Model quality matters, but most mature platforms can call capable models. The harder questions concern context, tools, state, review, and recovery. Those are the parts the team will operate every week.
- 01Time to reviewable value
- 02Evidence coverage and freshness
- 03Reviewer correction rate
- 04Recovery after failure
- 05Context reused on the next run
Price the work around the subscription
Total cost includes setup, integration, monitoring, evaluation, review, and migration, not only seats or tokens.
A low subscription can be expensive if engineers must build identity, notifications, reviewer screens, and run history. A broad enterprise platform can also be wasteful when one team only needs a shared workflow record. List what the product supplies and what your team must own.
End the trial by exporting or revisiting the completed workflow. Ask a teammate who did not join the run to explain what happened. If they cannot identify the evidence, open tasks, reviewer feedback, and final decision, the platform has not created reusable operating memory.
- 01Implementation and integration
- 02Evaluation and monitoring
- 03Reviewer attention
- 04Provider and infrastructure usage
- 05Exit, export, and migration
Primary sources
Product and practice claims in this guide are grounded in current first-party or standards sources. Raltic product claims are limited to shipped behavior described on this site.
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