Skip to content
Continuum AI research
For long-running AI work

Stop starting
over.

Keep project history ready for the next AI session.

Book a Continuum consultation See the test results
Project history Kept with the work.
Decisions What changed and why.
Next steps Ready to resume.
Reference files Only what matters.

Current test: 5/5 correct. 85% fewer input tokens.

Keep the work. Skip the recap.

Continuum carries project context into the next session.

Remember

Keep project history.

Decisions, files, limits, and next steps.

Focus

Send less context.

Use what the task needs.

Switch tools

Change models.

Keep the same project record.

Measure

Check the result.

Track accuracy, recall, tokens, and speed.

Same answers. 85% less input.

Tested against no memory, fixed memory, and the full archive.

Results

Continuum kept every required detail in 15/15 tests with 98.8% less context.

Five live tasks: no memory 0/5, full archive 5/5, Continuum 5/5.

New work: fixed memory 0/5, Continuum 5/5.

Correct answers 5/5
Required details 15/15
Input reduction 85.09% less
New scenarios Continuum 5/5
Fixed memory missed new work Correct recall on five new scenarios
Small model memory
0/5
Larger model memory
0/5
Continuum
5/5

Fixed memory scored 0/5. Continuum scored 5/5.

Continuum used 1.2% of the archive Average input per scenario
Full archive
146,413 tokens
Continuum
1,775 tokens

Every required detail stayed available.

Full-context accuracy without the full archive Correct answers across five live tasks
No project memory
0/5
Full context
5/5
Continuum
5/5

No memory: 0/5. Full archive and Continuum: 5/5.

85% fewer input tokens Total across five live tasks
Full context
697,175
Continuum
103,954

Continuum: 103,954. Full archive: 697,175.

Full results.

Continuum remembered more and sent less.

Approach Passed New tasks Recall Average input Result
Small model memory 3/15 0/5 61.6% 1,320 Missed 38.4%.
Larger model memory 7/15 0/5 79.4% 2,594 Failed new work.
Continuum 15/15 5/5 100% 1,775 All required details.
Approach Correct answers Input tokens Average time Result
Full context 5/5 697,175 11.3s Correct. High input.
Continuum 5/5 103,954 6.5s Correct. 85% less input. 42% faster.

How I tested it.

83 project items. 15 recall tests. Five live tasks.

Project archive 83 items. 146,000 tokens.
Recall 15 questions.
New work Five held-back questions.
Live tasks No memory, full archive, Continuum.
Fixed memory Two fixed-size sets.

Who it helps.

For projects that cannot afford a reset.

Long projects

Keep decisions and next steps.

Multiple AI tools

Change models. Keep the project.

Teams

Hand off the current state.

Measured AI use

Track accuracy, tokens, and speed.

Stop repeating yourself.

Show me the operation and AI work that keep losing context.

Book a Continuum consultation