Evaluations
Evaluate before you deploy.
Fide AI helps teams building or deploying faith-facing AI understand the full deployed system: model behavior, retrieval quality, prompt and guardrail effects, authority boundaries, escalation paths, interface claims, and institutional readiness before users depend on the product. This work applies Fide AI research to real decisions without letting payment influence the conclusions.
Evaluate an existing system
For churches, ministries, publishers, schools, civil society organizations, startups, and product teams that already have a faith-facing AI assistant, retrieval system, agent, chatbot, workflow, or prototype.
Design a safer build
For teams planning a new product or deployment and wanting recommendations on design, prompts, sources, safety checks, handoffs, and claims before launch.
Prepare for high-trust use
For institutions that need an independent read on whether a system is ready for classrooms, ministry workflows, pastoral-adjacent settings, research use, or public-facing release.
Ways to apply the research
Applied work starts from evidence, not endorsement.
Fide AI can help leaders review tools, set boundaries, train teams, and make AI decisions using the same independence rules that guide public research. The goal is simple: understand what is ready, what is risky, and what should not be claimed.
Evaluate
Reviews of AI tools, chatbots, search systems, prompts, sources, and safety practices before they are used in high-trust settings.
Advise
Help with buying, building, approving, or limiting AI use, including what to disclose and when a person needs to step in.
Train
Workshops and briefings for leaders, staff, reviewers, and ministry teams who need shared judgment about AI before use spreads.
Inform
Plain-language briefings and research updates for leaders trying to understand what is changing and what matters for their people.
Build with evidence
Practical recommendations for safer AI workflows, review processes, source policies, and prototypes based on what the system actually does.
Ways to work together
Private decisions and public learning can both be useful.
Some organizations need a confidential review before launch. Others are willing to make part of the work public so churches, ministries, schools, builders, and researchers can learn from the results. Fide AI may discount or subsidize work when it creates meaningful public learning.
Private Review
A paid review for teams that need a confidential report, a clear list of risks, practical recommendations, and an internal briefing. Fide AI does not name the organization publicly unless that is approved in writing.
Readiness Review
A focused review for leaders deciding whether an AI system is ready for launch, procurement, classroom use, ministry workflows, public release, or continued internal testing.
Public Learning Review
A discounted review for organizations willing to let others learn from part of the work. Public materials may include the method, selected findings, limits, risks with identifying details removed, reusable checklists, and a case study with permission.
Open Learning Review
A subsidized path when the work can teach the broader field. Public materials may include findings with identifying details removed, safe test scenarios, lessons learned, and a named case study when approved.
With written permission, Fide AI may name organizations that take part in a public learning review or open learning review. Being named does not mean Fide AI endorses, ranks, certifies, or approves the product. Payment, discounts, sponsorship, or public participation do not buy favorable findings, approval, launch signoff, marketing claims, or the suppression of criticism.
Evaluation reports
Published reports and reusable checklists.
This index starts small, but each report is organized so future comparisons can be understood by system, audience, status, and limits.
From review to evidence
Product work can build the missing evaluation layer.
Most Fide AI engagements help a specific institution or builder make a concrete decision. Some reviews can also create public-interest evidence about faith-facing AI: reusable scenarios, claims limits, readiness criteria, failure taxonomies, or de-identified findings that help the broader evaluation field understand a neglected domain.
Private decision
A confidential review helps one church, ministry, school, publisher, startup, or builder understand a specific system and make a concrete decision.
Deployment readiness
Findings can support launch, procurement, internal approval, usage boundaries, staff training, claims review, or a decision to keep a system out of high-trust use.
Public learning
When appropriate, a review can produce de-identified findings, reusable checklists, failure patterns, claims limits, or case-study lessons for the broader field.
Research infrastructure
Repeated reviews can mature into scenarios, rubrics, reviewer protocols, benchmark updates, readiness criteria, and field standards for faith-facing AI evaluation.
What we can help with
We evaluate the full deployed system, not just the base model.
Fide AI combines faith-facing evaluation research with practical experience building AI assistants, source-based search systems, review processes, and reliable AI product infrastructure. We examine the model, prompts, source material, citations, safety rules, refusal behavior, human handoffs, user-facing claims, logging, correction process, and deployment setting. The work can be scoped as a review, planning session, design check, evaluation plan, or practical recommendation.
System review
We review what the AI is supposed to do, what it is connected to, what sources it uses, what users see, what it says about itself, and where a human should step in.
Behavioral evaluation
We test how the system responds to realistic questions about doctrine, moral judgment, pastoral-adjacent care, vulnerable users, disagreement, authority, and overreliance.
Reliability recommendations
We recommend clearer prompts, better sources, stronger review workflows, safer handoffs, better monitoring, and limits based on what the system actually did.
Deployment readiness
We help teams decide what is ready for users, what should stay internal, what needs human review, what should be forbidden, and what needs to be disclosed.
Claims limits
Fide AI reports evidence and recommendations under stated conditions. We do not turn evaluation into theological authority, product endorsement, or a blanket certification of safety.
Work with Fide AI
If you are deploying, evaluating, sponsoring, or building a faith-facing AI system, reach out with what you are building or considering, who will use it, where it may be used, and what decision you need to make. We can shape a review around your situation.
Express interest →