Why WebAssign answer keys don't work
WebAssign is Cengage's online homework platform, used mainly for university calculus, physics, chemistry, and statistics courses. Its defining feature is per-student randomization: most questions are generated from a template that swaps in different numbers for each student, and the Practice Another Version button regenerates your own values on the spot. That single design choice is why searching for WebAssign answers turns up so little that's usable — any posted answer key was worked from a different draw of the numbers.
Chegg and Course Hero uploads, Reddit threads, and shared PDFs all hit the same wall: the question shape matches, the final answer doesn't. At best a posted solution shows you the method, and you still have to redo the arithmetic with your own values. An AI solver flips the approach — instead of looking your problem up, FastSolve works the exact problem on your screen, with your numbers, and shows the steps.
Getting past WebAssign's answer-entry quirks
Getting the right value is half the job on WebAssign; entering it acceptably is the other half. Numeric answers are graded against a tolerance your instructor configures, many chemistry questions additionally grade significant figures, and physics questions can require units alongside the number. Symbolic questions use WebAssign's math-entry pad, which is strict about form — an unsimplified but equivalent expression can be marked wrong.
FastSolve's worked steps help precisely here: the answer comes back as an exact value plus the reasoning, so you can enter the exact form when the question demands it or round to the requested precision when it doesn't. Most questions allow several submissions per part — the remaining-attempts counter sits under the answer box — so an entry slip usually costs one attempt, not the assignment.
Native WebAssign support: where it sits on the roadmap
FastSolve ships native in-page adapters for Canvas, Blackboard, Moodle, Brightspace, ALEKS, Schoology, Knewton, Learnosity, and DeltaMath — on those platforms the extension detects the question in the page and fills the answer directly. WebAssign's own question player doesn't have a native adapter yet, so this page describes the paste and screenshot workflow honestly rather than pretending otherwise.
Native WebAssign support is on the FastSolve roadmap. Until it ships, the paste and screenshot flow covers WebAssign problem sets — including figure-based physics and chemistry questions — with the same solving engine, powered by Claude and GPT-4o, that the native platforms use.