You can build your own harness quite easily or use a harness something like pi.dev which offers a lot of flexibility in customization in terms of tools, models ised, resume sessions at a prior point in time, etc.

I have used pi.dev to easily start from a known context and goal and use it to compare the cost effectiveness, token isage, etc. of different models to reach the goal state.

I am sure there are many ways to do this successfully.

"Scan through publically accessible LIDAR data on <region of mexican jungle>, search for potential Mayan ruins and cross reference with published data to rule out existing finds

Work autonomously until the entire area is searched, prepare me a report detailing potential discoveries"

should more or less do the trick