Dovetail vs Fulcrum
Side-by-side trajectory, velocity, and editorial themes.
Dovetail is turning its research repository into an AI analyst that reads, computes, and cites.
Dovetail has shifted its center of gravity from storing research to answering questions over it. The last month is almost entirely about the chat layer: persistent multi-turn context, code execution with inline charts, admin-curated Docs as context, and a new deep research mode. The MCP server is gaining write tools, making the repository operable by outside agents.
The arc points to an analytical agent that works across both qualitative and quantitative data and can be driven programmatically. Each release widens what chat can pull in and what it can do, from running code to sustaining reasoning across turns. Dovetail is positioning the chat surface, not the project, as the primary way users interact with their research.
Expect deep research mode to gain agentic follow-through that writes results back to Docs, and the MCP write surface to keep expanding toward full repository control from external tools.
Fulcrum keeps hardening field GIS capture on a steady weekly cadence.
Fulcrum ships on a predictable weekly rhythm across web, iOS, and Android, and the work is concentrated on field mapping and ArcGIS interoperability. Recent releases center on map annotation, geometry rendering, and offline reliability rather than new product surface.
The arc is incremental hardening of the mobile GIS workflow — WMS and ArcGIS connectivity fixes, map scale bars, background GPS tracking — punctuated by occasional field-UX additions like sketching on a captured map. It reads as a mature product optimizing its core rather than changing direction.
Expect the weekly web and mobile cadence to continue, with more map-annotation and ArcGIS-integration refinements. Nothing in these entries points to a larger platform shift.
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