Pick up where work left off
Give the next person or agent the decisions, constraints, and open work from earlier sessions.
// solutions
Keep the thread. Move the work forward.
AgentPM helps people and agents continue from the known state, understand why decisions were made, and improve how work gets done across sessions, models, and teams.
// what carries forward
decisions and outcomes
risks and open work
code and tool activity
source-linked evidence
// workflows
One memory layer. Multiple ways to work better.
Start with the common moments where agent work breaks down: handoff, history, review, and improvement.
Find the story behind the work
See what was tried, changed, rejected, and left unresolved across sessions, branches, and agents.
Review with the full picture
Trace summaries and code changes back to prompts, commands, tools, files, and source turns.
Turn patterns into better practice
Spot repeated friction and successful approaches, then turn them into guidance, skills, and workflows.
// practical workflows
Prompts your team can use right away.
Use these as starting points once AgentPM has captured real sessions. They keep the page practical without forcing every workflow into its own destination.
Find security concerns across agent sessions
Security-sensitive actions can be buried inside long coding-agent transcripts.
prompt
Which recent conversations included secrets, auth changes, permission changes, or risky shell commands?
Expected result: A ranked list of conversations with linked evidence, risk summaries, touched files, and exact turns to review.
Discover unfinished work and forgotten TODOs
Agents often leave unresolved decisions, partial fixes, or follow-up work in the chat history.
prompt
Show unresolved work, TODOs, failed checks, and follow-ups from this week.
Expected result: Open items grouped by project, conversation, owner, and evidence turn.
Identify risky shell commands
Commands that mutate state, delete data, or touch deploy systems need extra review.
prompt
Find conversations that ran destructive, privileged, deploy, database, or credential-related shell commands.
Expected result: Command-focused evidence with command text, status, surrounding context, and project metadata.
Find conversations that modified authentication or billing code
Auth and billing changes need context beyond the final patch.
prompt
Which conversations changed auth, permissions, billing, plans, payments, or customer access?
Expected result: Relevant sessions, files, commands, git activity, and decision summaries.
Review what changed before opening a PR
A PR often hides failed attempts, skipped checks, and assumptions made earlier in the session.
prompt
Summarize what changed on this branch, what was verified, and what remains risky before I open a PR.
Expected result: A PR prep brief with files, commands, tests, decisions, unresolved work, and suggested review focus.
Generate a daily engineering digest
Daily standups miss the shape of agent-assisted work across projects.
prompt
Generate today's engineering digest for this org: shipped work, active projects, risks, and follow-ups.
Expected result: A project-level digest with conversation counts, notable work, risks, blockers, and links back to evidence.
Find repeated mistakes your agents are making
The same agent failure can repeat across repos without anyone seeing the pattern.
prompt
What mistakes, retries, failed commands, or planning gaps are repeating across our agent sessions?
Expected result: Themes with example conversations, affected projects, and coaching suggestions.
Investigate why an implementation changed direction
The final code rarely explains why an agent abandoned an earlier approach.
prompt
Why did this implementation change direction, and what evidence led to the final approach?
Expected result: A timeline of decisions, failed attempts, tool output, file changes, and turning points.
// teams
Agents get context. Teams get clarity.
The same captured work helps agents continue and helps the people around them understand, review, improve, and govern it.
developers
Recover context and continue work
Open the full session history, search across raw work, and hand the next developer or agent the current state without rebuilding context.
Explore this teamengineering leaders
Understand patterns, outcomes, and bottlenecks
See where agent-assisted work is helping, where it stalls, which practices repeat, and what should become team guidance.
Explore this teamcompliance and security
Keep control, auditability, spend management, and portability
Review the evidence around sensitive work, inspect usage and risk, and keep agent-generated knowledge in a record your organization owns.
Explore this teamStart with the agents your team already uses.
Capture one real session, inspect the history, and decide from evidence whether the shared context is valuable.