Run your agent inside a supervised terminal. ClevAgent sits between the agent and its work, adding guidance when the session needs a better next move.
No credit card. 1 agent free.
First file write to project root. Create a directory structure (e.g., ./policies/) before more files accumulate.
Acknowledged. Restructuring project directory.
The real problem
Repeated reads, bloated memory, bad file paths, oversized files, and loops quietly waste time, tokens, and context.
Read refund-policy.md
Read refund-policy-v2.md
Searched for "refund policy exception"
Read refund-policy.md again
Added 842 lines to memory
Active on the surface. Inefficient underneath.
Pattern detected: duplicate read and memory bloat.
ClevAgent: You already read refund-policy.md. Use the existing context, consolidate the policy reference, and trim MEMORY.md before continuing.
Agent: Acknowledged.
Trimmed MEMORY.md.
Referenced refund-policy.md once.
Drafted response.
Why it compounds
ClevAgent does more than stop waste in the current session. When it helps an agent organize files, reduce memory bloat, and keep paths clean, the next agent run starts from a better working environment.
“The agent is not learning from scratch. The workspace is getting easier to use.”
Duplicate reads, loops, and bloated context create immediate token and time waste.
ClevAgent catches those patterns inside the current session.
File organization, path hygiene, and memory cleanup leave the project easier to understand.
ClevAgent helps the next agent start from a cleaner workspace.
Direct savings are measurable now. Workspace cleanup creates value that carries forward.
Cleaner files and leaner memory do not reset when the session ends.
They become part of the workspace your agent uses next time, making future work faster, cleaner, and less wasteful.
The workspace gets progressively easier for agents to use.
We estimate direct savings conservatively. The larger upside is accumulated efficiency from a cleaner workspace, but we do not count that in the savings estimate yet.
Pre-launch evidence
Before opening access, we replayed ClevAgent across our own agent work and measured $1,308 in estimated savings per 100 real working sessions.
Estimated savings
Estimated savings across real agent work.
For heavy agent users, 100 sessions is roughly one month of real work.
ClevAgent injects
You read src/api/users.py at turn 1. The content is in your context. No need to re-read. Answer from memory or use Grep for a specific excerpt.
LLM calls analyzed
Normalized to 100 sessions.
Waste signals
Patterns ClevAgent caught.
Price multiple
Estimated savings vs. a $29 plan.
Methodology
Replay-based estimate from real agent sessions. File organization is logged separately, not counted in the savings total. Rule-by-rule formulas and assumptions are documented in Our Logics.
Real workflow, replayed
These numbers come from our own heavy agent workflow before launch. As more teams come online, we’ll publish broader cohorts using the same replay methodology.
Onboarding
Sign up, open ClevAgent, and run your agent inside the supervised terminal.
Start free. No credit card required. Your first agent is free.
Download the Mac app and launch the supervised terminal. Windows is coming soon.
Use the same command you already use. ClevAgent watches the session and injects advice when a logic trigger fires.
Features
Catches repeated reads, loops, oversized files, memory bloat, and path issues early, then guides the next turn back on track.
When an agent rereads, retries, or repeats the same step, ClevAgent recognizes the pattern and inserts a better next move.
Guides agents toward cleaner file placement, clearer names, and better path hygiene instead of leaving version sprawl behind.
Prompts agents to trim oversized memory and reduce context bloat before the next model call.
By catching duplicate work and bloated context early, ClevAgent helps reduce token waste inside the current session.
Every coaching message is logged, so you can see what ClevAgent noticed, what it said, and what changed next.
Pricing
Free gives one agent the full supervised terminal experience. Pro brings the same work pattern detection, corrective advice, direct waste visibility, and intervention history to more agents.
Free
$0/mo
Best for your first agent.
Pro
$29/mo
For teams running more agents.
Start free and run your first agent inside ClevAgent’s supervised terminal.
No credit card required. Mac first, Windows coming soon.
Run your agent inside a supervised terminal. ClevAgent sits between the agent and its work, adding guidance when the session needs a better next move.
No credit card. 1 agent free.
First file write to project root. Create a directory structure (e.g., ./policies/) before more files accumulate.
Acknowledged. Restructuring project directory.
The real problem
Repeated reads, bloated memory, bad file paths, oversized files, and loops quietly waste time, tokens, and context.
Read refund-policy.md
Read refund-policy-v2.md
Searched for "refund policy exception"
Read refund-policy.md again
Added 842 lines to memory
Active on the surface. Inefficient underneath.
Pattern detected: duplicate read and memory bloat.
ClevAgent: You already read refund-policy.md. Use the existing context, consolidate the policy reference, and trim MEMORY.md before continuing.
Agent: Acknowledged.
Trimmed MEMORY.md.
Referenced refund-policy.md once.
Drafted response.
Why it compounds
ClevAgent does more than stop waste in the current session. When it helps an agent organize files, reduce memory bloat, and keep paths clean, the next agent run starts from a better working environment.
“The agent is not learning from scratch. The workspace is getting easier to use.”
Duplicate reads, loops, and bloated context create immediate token and time waste.
ClevAgent catches those patterns inside the current session.
File organization, path hygiene, and memory cleanup leave the project easier to understand.
ClevAgent helps the next agent start from a cleaner workspace.
Direct savings are measurable now. Workspace cleanup creates value that carries forward.
Cleaner files and leaner memory do not reset when the session ends.
They become part of the workspace your agent uses next time, making future work faster, cleaner, and less wasteful.
The workspace gets progressively easier for agents to use.
We estimate direct savings conservatively. The larger upside is accumulated efficiency from a cleaner workspace, but we do not count that in the savings estimate yet.
Pre-launch evidence
Before opening access, we replayed ClevAgent across our own agent work and measured $1,308 in estimated savings per 100 real working sessions.
Estimated savings
Estimated savings across real agent work.
For heavy agent users, 100 sessions is roughly one month of real work.
ClevAgent injects
You read src/api/users.py at turn 1. The content is in your context. No need to re-read. Answer from memory or use Grep for a specific excerpt.
LLM calls analyzed
Normalized to 100 sessions.
Waste signals
Patterns ClevAgent caught.
Price multiple
Estimated savings vs. a $29 plan.
Methodology
Replay-based estimate from real agent sessions. File organization is logged separately, not counted in the savings total. Rule-by-rule formulas and assumptions are documented in Our Logics.
Real workflow, replayed
These numbers come from our own heavy agent workflow before launch. As more teams come online, we’ll publish broader cohorts using the same replay methodology.
Onboarding
Sign up, open ClevAgent, and run your agent inside the supervised terminal.
Sign up
Start free. No credit card required. Your first agent is free.
Open ClevAgent
Download the Mac app and launch the supervised terminal. Windows is coming soon.
Run your agent
Use the same command you already use. ClevAgent watches the session and injects advice when a logic trigger fires.
Features
Detect Work Patterns
Stop Loops Early
Organize Files Better
Keep Memory Lean
Reduce Wasteful Calls
Log Interventions
Pricing
Free gives one agent the full supervised terminal experience. Pro brings the same work pattern detection, corrective advice, direct waste visibility, and intervention history to more agents.
Free
$0/mo
Best for your first agent.
Pro
$29/mo
For teams running more agents.
Start free and run your first agent inside
ClevAgent’s supervised terminal.
No credit card required. Mac first,
Windows coming soon.