Bellfly moves the work forward. Packtell keeps what matters afterwards.
A finished task leaves reports, source material, decisions and files you will use again. Keep the work process in Bellfly and give the results a lasting home in Packtell.
Bellfly
Goals · Work · Checks · Results
Packtell
Result files · Sources · Versions · Delivery · Long-term use
Packtell itself is being built with Bellfly.
From product design and development to tests, fixes and ongoing improvements, we use Bellfly to manage our own AI and Agents as we build Packtell. We put our own product and real tasks through it, find problems in the work, fix them, and keep improving both products.
- Packtell product needs
- Goals / design
- Bellfly
- Our own Agents
- Build
- Test
- Find a problem
- Fix
- Packtell grows
Design, build, test, find a problem, fix it.
Our real Packtell development includes coordinated changes across repositories, independent checks, and fixes after failed checks. Those experiences feed back into both products. This is how we use Bellfly in our own work.
Keep the result and the reason it exists.
Selected project knowledge, goals, work and checks explain the result. Packtell keeps readable Work Records read-only; your Work Products remain editable in the applications you use.
Bellfly
Goals · Work · Checks · Results
Packtell
Result files · Sources · Versions · Delivery · Long-term use
Choose what the connection can use.
Bellfly owns execution and permissions. Packtell connects through explicitly authorized Spaces and capabilities and does not read Bellfly’s private database. The two products can each be used independently.
Give AI results a lasting home
Follow the files from completed work to an understandable delivery.
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