Service
Applied AI research
Some AI work starts best as a sharp question and a small experiment. The point is to learn what deserves engineering before the expensive part begins.
iftodo runs applied research tracks for model behaviour, agent architectures, retrieval strategies, identity patterns, evaluation methods, and workflow feasibility. The output is practical: findings, prototypes, tradeoffs, and a recommendation.
Where this fits
- You have a serious AI idea but the technical path or risk is not yet clear.
- A small evidence base would prevent an expensive build in the wrong direction.
- You want research that stays close to implementation, not a slide deck detached from code.
What gets delivered
- 01
Research brief with question, assumptions, constraints, and decision criteria.
- 02
Experiment harnesses, small prototypes, evaluation notes, and source material where shareable.
- 03
Recommendation memo: build, narrow, pause, or continue research, with the reasons made explicit.
What I need from you
- The decision the research must support and the cost of being wrong.
- Representative examples, target users, current systems, and technical constraints.
- A tolerance for uncertainty, because good research can conclude that a build should not proceed yet.
How the work runs
- 01
Turn a broad AI ambition into a small number of falsifiable questions.
- 02
Run experiments that isolate the risky part before building full product surface.
- 03
Translate findings into implementation options, acceptance criteria, and remaining unknowns.
Acceptance and evaluation
- The research answers the agreed decision question or explains why it cannot yet be answered.
- Claims are tied to experiments, source material, or explicit judgement rather than hype.
- The next step is clear enough to estimate, build, or deliberately stop.
Evidence and work
Common questions
- Is this academic research?
- It uses research discipline, but the goal is an engineering decision: what to build, what not to build, and why.
- What if the answer is negative?
- That is a useful outcome. A clear no, or a narrower yes, is often the best result of a bounded research engagement.
- Do you publish the findings?
- Not by default. Client material and project findings stay private unless there is an explicit agreement to publish selected, non-sensitive work.